Instructions to use Rudra360/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rudra360/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rudra360/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Rudra360/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 14.1 MB
-
https://huggingface.co/Rudra360/lora_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://Rudra360/lora_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Rudra360/lora_model/resolve/main/tokenizer.json
14.1 MB
- Xet hash:
- f35b7cee9122b280f5c9c93c21fcd31c136efaf3b44e1c03ac8d19d132933176
- Size of remote file:
- 14.1 MB
- SHA256:
- 605c9451a923b78de916683ca9446cdf2721851cdd1873fc035acb32489601c8
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