Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Portuguese
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use lgris/whisper-small-cv11-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/whisper-small-cv11-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/whisper-small-cv11-pt")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lgris/whisper-small-cv11-pt") model = AutoModelForMultimodalLM.from_pretrained("lgris/whisper-small-cv11-pt") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files- .gitignore +1 -0
- config.json +42 -0
- preprocessor_config.json +0 -0
- pytorch_model.bin +3 -0
- runs/Nov10_20-38-36_05f476443438/1668112725.2832818/events.out.tfevents.1668112725.05f476443438.2997.1 +3 -0
- runs/Nov10_20-38-36_05f476443438/events.out.tfevents.1668112725.05f476443438.2997.0 +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "openai/whisper-small",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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"WhisperForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"begin_suppress_tokens": [
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220,
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50257
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],
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"bos_token_id": 50257,
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"d_model": 768,
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"decoder_attention_heads": 12,
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"decoder_ffn_dim": 3072,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 50258,
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"dropout": 0.0,
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"encoder_attention_heads": 12,
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"encoder_ffn_dim": 3072,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 50257,
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"forced_decoder_ids": null,
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_length": 448,
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"max_source_positions": 1500,
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"max_target_positions": 448,
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"model_type": "whisper",
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"num_hidden_layers": 12,
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"num_mel_bins": 80,
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"pad_token_id": 50257,
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"scale_embedding": false,
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"suppress_tokens": [],
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"torch_dtype": "float32",
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"transformers_version": "4.25.0.dev0",
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"use_cache": true,
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"vocab_size": 51865
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}
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preprocessor_config.json
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef2953be4fd9870497c45f1785e5af8cdcc8ba9e054de5354cb88a2f5b89c926
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size 967099139
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runs/Nov10_20-38-36_05f476443438/1668112725.2832818/events.out.tfevents.1668112725.05f476443438.2997.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:5841609e0dc968a88adb4f91f65d29e34e5977aff663167ca253e7e37cb07019
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size 5723
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runs/Nov10_20-38-36_05f476443438/events.out.tfevents.1668112725.05f476443438.2997.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:da32b52cd8119482b2e351e279df705561a88de20a3307049134fd5d1081ac02
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size 161172
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:80e3b7e9d7123b6b374f44f417da3e117bcc33cb0730c5acd4e342b4105fec94
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size 3503
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