Instructions to use J1mb0o/lora_model_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use J1mb0o/lora_model_test2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("J1mb0o/lora_model_test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from J1mb0o/lora_model_test2: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/J1mb0o/lora_model_test2/resolve/main/tokenizer.json
- Command line
-
hf download hf://J1mb0o/lora_model_test2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/J1mb0o/lora_model_test2/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- bd7eb1d9df05e290be5ba369901a43352fc5e881abdc4a687ee98106e9724ea8
- Size of remote file:
- 17.2 MB
- SHA256:
- d34b8b90d18ab7ffd5282840a84d5d4df705e2c8e6f74c906ee0a1ea5b6bd9dd
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