Instructions to use OumaymaELBIACH/Outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OumaymaELBIACH/Outputs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OumaymaELBIACH/Outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OumaymaELBIACH/Outputs: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/OumaymaELBIACH/Outputs/resolve/main/tokenizer.json
- Command line
-
hf download hf://OumaymaELBIACH/Outputs/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OumaymaELBIACH/Outputs/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- b359ab6a6cd39b584b51df6bb6171eefa05ca2c91b47337f274bbe5020d3f674
- Size of remote file:
- 17.2 MB
- SHA256:
- 9c85066e7642934ed09b44155e6566b0b5dab2637fb9433439ba5c9c7f8b50d3
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