Instructions to use matCercola18/rr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matCercola18/rr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("matCercola18/rr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from matCercola18/rr: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/matCercola18/rr/resolve/main/tokenizer.json
- Command line
-
hf download hf://matCercola18/rr/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/matCercola18/rr/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 508cc1f807fa79cdba05919523c96c3e3a7d416584c13cdaef3f48df2b3e3f9b
- Size of remote file:
- 11.4 MB
- SHA256:
- 21f6994642cfbd8473e43b4fae1d60d4a953aea1419dc28b4ae3f41778cd0924
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