Instructions to use sanaa-11/fine_tuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanaa-11/fine_tuned_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sanaa-11/fine_tuned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sanaa-11/fine_tuned_model: direct link, hf CLI and curl.
- Browser
- Download file 21.8 MB
-
https://huggingface.co/sanaa-11/fine_tuned_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://sanaa-11/fine_tuned_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sanaa-11/fine_tuned_model/resolve/main/tokenizer.json
21.8 MB
- Xet hash:
- 562c5052a0d15c549fa50bf9c9f32234fe0a2de64fc8d7c346b6a83c82831daa
- Size of remote file:
- 21.8 MB
- SHA256:
- c284e2b3e3eb543578e46aba6a15796e0e4e2f60a2b7f5bb8c23e546c1802332
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