Instructions to use codejay2023/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codejay2023/model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codejay2023/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from codejay2023/model: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/codejay2023/model/resolve/7d110d18d87a7f5784cee4ea916b0f2a8cd66dc2/tokenizer.json
- Command line
-
hf download hf://codejay2023/model@7d110d18d87a7f5784cee4ea916b0f2a8cd66dc2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/codejay2023/model/resolve/7d110d18d87a7f5784cee4ea916b0f2a8cd66dc2/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.