Instructions to use smitmenon/e2m_denoise_project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smitmenon/e2m_denoise_project with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smitmenon/e2m_denoise_project") model = AutoModelForSeq2SeqLM.from_pretrained("smitmenon/e2m_denoise_project", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a464fd5bac985db6d28297f3742b8341485e8eb0648a280529de923afb554f0
- Size of remote file:
- 5.43 kB
- SHA256:
- b73ffe712792a6c3aba9e086b133399f270649cd3f4c4f70d50fb323dde9d484
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