Instructions to use leminda-ai/Hebrew_affix_find2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leminda-ai/Hebrew_affix_find2 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelTokenClassification tokenizer = AutoTokenizer.from_pretrained("leminda-ai/Hebrew_affix_find2") model = BertForMultiLabelTokenClassification.from_pretrained("leminda-ai/Hebrew_affix_find2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- config.json +53 -52
- model.safetensors +1 -1
- training_args.bin +2 -2
config.json
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"num_attention_heads": 12,
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"hidden_dropout_prob": 0.1,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"newmodern": true,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 3,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 128000
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model.safetensors
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training_args.bin
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