Instructions to use podsni/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use podsni/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("podsni/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from podsni/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/podsni/lora_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://podsni/lora_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/podsni/lora_model/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- cc801cf86191bd0d4690cf7ad3750a74f111d7edd69d45bf432fb4dca832108c
- Size of remote file:
- 17.2 MB
- SHA256:
- 9f908f9b84390fd12c6d0c356765257846c53f60bf472ff4996a440a1e230373
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