Instructions to use Anwaarma/existl3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/existl3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/existl3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Anwaarma/existl3: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Anwaarma/existl3/resolve/main/tokenizer.json
- Command line
-
hf download hf://Anwaarma/existl3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Anwaarma/existl3/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 9fd2f00eca77a03da643241fa190f8199446f7e5c26d2e5baba516ba3cd16ba5
- Size of remote file:
- 17.2 MB
- SHA256:
- 012e1af990732e480e86e412dd9d39f9e4ca6020cdb90e5d9f49f65a0db54b1c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.