Instructions to use saadfr/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadfr/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("saadfr/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download vocab.json from saadfr/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/saadfr/lora_model/resolve/b5fe38d7abdad5f4e2275f6aa4a48de9531bea1a/vocab.json
- Command line
-
hf download hf://saadfr/lora_model@b5fe38d7abdad5f4e2275f6aa4a48de9531bea1a/vocab.json
-
curl -L -o vocab.json https://huggingface.co/saadfr/lora_model/resolve/b5fe38d7abdad5f4e2275f6aa4a48de9531bea1a/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.