Instructions to use Pratham10/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pratham10/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Pratham10/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.model from Pratham10/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/Pratham10/lora_model/resolve/main/tokenizer.model
- Command line
-
hf download hf://Pratham10/lora_model/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Pratham10/lora_model/resolve/main/tokenizer.model
4.24 MB
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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