Instructions to use tomekkorbak/hungry_pasteur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomekkorbak/hungry_pasteur with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tomekkorbak/hungry_pasteur") model = AutoModel.from_pretrained("tomekkorbak/hungry_pasteur") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e30e0324910177b2c2a44b2996d0f427061692dae668e42639c12f148a67661
- Size of remote file:
- 510 MB
- SHA256:
- 26f90f1a8b29a656ca834e88d6a41a46d0ef725a738cb95d7604a8bd159f6953
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