Instructions to use EdBergJr/Jaisadapted7Baha_Arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdBergJr/Jaisadapted7Baha_Arabic with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EdBergJr/Jaisadapted7Baha_Arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from EdBergJr/Jaisadapted7Baha_Arabic: direct link, hf CLI and curl.
- Browser
- Download file 1.18 MB
-
https://huggingface.co/EdBergJr/Jaisadapted7Baha_Arabic/resolve/main/tokenizer.model
- Command line
-
hf download hf://EdBergJr/Jaisadapted7Baha_Arabic/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/EdBergJr/Jaisadapted7Baha_Arabic/resolve/main/tokenizer.model
1.18 MB
- Xet hash:
- b3dbc843e43532c6972c1d4226f512c386b123f7e09a37c693d286aea814c2e8
- Size of remote file:
- 1.18 MB
- SHA256:
- b5be997e01a75127ffdc0f1b8186ec7c7f35748fa170844058ad91ace4cf08c5
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