Instructions to use smitmenon/e2m_translation_project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smitmenon/e2m_translation_project with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smitmenon/e2m_translation_project") model = AutoModelForSeq2SeqLM.from_pretrained("smitmenon/e2m_translation_project", 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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"_name_or_path": "
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"_name_or_path": "smitmenon/e2m_translation_project",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1935681888
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