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:
- e54dcb5927ae38c1310219331dffdbe8715f551fc6d4ae3f78efce3e52f72608
- Size of remote file:
- 3.44 kB
- SHA256:
- 49b156e5c0ed5df1da614e5870989322ba28e5942fa54ecefabeec96ed5d2aaf
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