Instructions to use Raja2/lora_model_EE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raja2/lora_model_EE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Raja2/lora_model_EE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Raja2/lora_model_EE: direct link, hf CLI and curl.
- Browser
- Download file 7.15 MB
-
https://huggingface.co/Raja2/lora_model_EE/resolve/main/tokenizer.json
- Command line
-
hf download hf://Raja2/lora_model_EE/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Raja2/lora_model_EE/resolve/main/tokenizer.json
7.15 MB
File too large to display, you can check the raw version instead.