Instructions to use ManuD/llama3_8B_trained_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManuD/llama3_8B_trained_lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ManuD/llama3_8B_trained_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from ManuD/llama3_8B_trained_lora: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/ManuD/llama3_8B_trained_lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://ManuD/llama3_8B_trained_lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ManuD/llama3_8B_trained_lora/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.