Instructions to use AJosh/G-22-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AJosh/G-22-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AJosh/G-22-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AJosh/G-22-2: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/AJosh/G-22-2/resolve/main/tokenizer.json
- Command line
-
hf download hf://AJosh/G-22-2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AJosh/G-22-2/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 3dae11bedf60f07c257303ad9fe4aa39fd8f26bab07b3ad1dd0d21f478f05274
- Size of remote file:
- 17.5 MB
- SHA256:
- 5c029358fcec203b8813f01a98b4b5000e13e8e5c3b7ebe3a6c2f9e633f6e740
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