Instructions to use swadhindas324/convnext-Mistral-SYDNEY-without-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swadhindas324/convnext-Mistral-SYDNEY-without-captioning with Transformers:
# Load model directly from transformers import AutoTokenizer, VEDM tokenizer = AutoTokenizer.from_pretrained("swadhindas324/convnext-Mistral-SYDNEY-without-captioning") model = VEDM.from_pretrained("swadhindas324/convnext-Mistral-SYDNEY-without-captioning") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +92 -0
- generation_config.json +39 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"VEDM"
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],
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"decoder": {
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"_name_or_path": "swadhindas324/Mistral-SYDNEY",
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"add_cross_attention": true,
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 480,
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"chunk_size_feed_forward": 0,
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"dtype": "float32",
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"eos_token_id": 481,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": true,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"max_position_embeddings": 45,
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"model_type": "mistral",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"num_key_value_heads": 4,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 483,
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"problem_type": null,
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"return_dict": true,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"type_vocab_size": 1,
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"use_cache": false,
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"vocab_size": 484
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},
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"decoder_start_token_id": 480,
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"dtype": "float32",
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"encoder": {
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"_name_or_path": "swadhindas324/convnext-vit",
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"add_cross_attention": false,
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"architectures": [
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"ConvNext_Backbone"
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],
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"chunk_size_feed_forward": 0,
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"dropout_rate": 0.1,
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"dtype": "float32",
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"embed_dim": 1536,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"mlp_dim": 3072,
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"model_type": "convnext_vit",
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"num_heads": 8,
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"num_layers": 12,
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"output_attentions": false,
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"output_hidden_states": false,
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"patch_size": 49,
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"problem_type": null,
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"return_dict": true
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},
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"is_encoder_decoder": true,
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"model_type": "vision-encoder-decoder",
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"pad_token_id": 483,
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"tie_word_embeddings": false,
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"transformers_version": "5.12.1",
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"use_cache": false,
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"vocab_size": 484
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}
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generation_config.json
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{
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"_from_model_config": false,
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"assistant_confidence_threshold": 0.4,
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"assistant_lookbehind": 10,
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"bos_token_id": 480,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"early_stopping": true,
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"encoder_no_repeat_ngram_size": 0,
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"encoder_repetition_penalty": 1.0,
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"eos_token_id": 481,
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"epsilon_cutoff": 0.0,
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"eta_cutoff": 0.0,
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"length_penalty": 2.0,
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"max_length": 40,
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"max_new_tokens": 40,
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"min_length": 0,
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"model_max_length": 40,
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"no_repeat_ngram_size": 3,
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"num_assistant_tokens": 20,
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"num_assistant_tokens_schedule": "constant",
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"num_beam_groups": 1,
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"num_beams": 5,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": 483,
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict_in_generate": false,
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"target_lookbehind": 10,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"transformers_version": "5.12.1",
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"typical_p": 1.0,
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"use_cache": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9fc79e82721e41f7b7c3df74a921b8b012d5d6ceb43bae1ed4ef3027b6f39a0e
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size 1312025496
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4cb63a338ce9c2d37a6101c2674fcb79c536d9d124b457dbbdafb33f7ee7150d
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size 5393
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