Instructions to use jamesgoncha/nemziz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesgoncha/nemziz with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jamesgoncha/nemziz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jamesgoncha/nemziz: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/jamesgoncha/nemziz/resolve/main/tokenizer.json
- Command line
-
hf download hf://jamesgoncha/nemziz/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jamesgoncha/nemziz/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 91a920f2e97fdc446a3eb14401570fecbf19412dd9e8e5045b3102b50a560027
- Size of remote file:
- 11.4 MB
- SHA256:
- 962b8d8c521fefa934665afddae177326e974ddd6a26e69ff31ad6bccbb5593b
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