Instructions to use contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821") model = AutoModelForSeq2SeqLM.from_pretrained("contemmcm/eed3b2fc273ffb52c6b1fa7ecf793821", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10db01d66e20d7a51578098b4997ca7af1ccff4643290ab0c090e9bbe63576b5
- Size of remote file:
- 6.1 kB
- SHA256:
- e1500aedda81783a4980f93065c92478a2e427e0d427fb95ab43cb927b034a6e
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