Instructions to use smitmenon/e2m_denoise_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smitmenon/e2m_denoise_finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smitmenon/e2m_denoise_finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("smitmenon/e2m_denoise_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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{
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"_name_or_path": "smitmenon/
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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{
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"_name_or_path": "smitmenon/e2m_mldenoise_project",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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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 sha256:2c3a0539d71997ccc5daf1dd8e3c88d360c88a044bd9bd42ec43658e657f098d
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size 2444578688
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