Instructions to use Benjaminpwh/sst-en_it_2_sm4t_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/sst-en_it_2_sm4t_medium with Transformers:
# Load model directly from transformers import AutoProcessor, DynamicSeamlessM4T processor = AutoProcessor.from_pretrained("Benjaminpwh/sst-en_it_2_sm4t_medium") model = DynamicSeamlessM4T.from_pretrained("Benjaminpwh/sst-en_it_2_sm4t_medium") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files- generation_config.json +1 -3
- model.safetensors +1 -1
generation_config.json
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"early_stopping": false,
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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":
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"epsilon_cutoff": 0.0,
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"eta_cutoff": 0.0,
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"length_penalty": 1.0,
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"early_stopping": false,
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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": 3,
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"epsilon_cutoff": 0.0,
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"eta_cutoff": 0.0,
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"length_penalty": 1.0,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e435912e577ca5bf5e52b1e32bd6e5db4bd8b56a2bc8037175850d7e2fc5be2
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size 8078105336
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