Instructions to use jkulhanek/augpt-mw-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkulhanek/augpt-mw-21 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jkulhanek/augpt-mw-21") model = AutoModel.from_pretrained("jkulhanek/augpt-mw-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jkulhanek/augpt-mw-21: direct link, hf CLI and curl.
- Browser
- Download file 510 MB
-
https://huggingface.co/jkulhanek/augpt-mw-21/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jkulhanek/augpt-mw-21/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jkulhanek/augpt-mw-21/resolve/main/pytorch_model.bin
510 MB
- Xet hash:
- 547f0137434a4ac8245f8b34ef9172dc8688558a8077e2f6a56b6aeff45185d6
- Size of remote file:
- 510 MB
- SHA256:
- ee2775e730055e2e077b8e7db976e77536e26362fb413c2a685e16a5f1a18e5f
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