Instructions to use Zhengyi/LLaMA-Mesh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zhengyi/LLaMA-Mesh with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Zhengyi/LLaMA-Mesh") model = AutoModelForCausalLM.from_pretrained("Zhengyi/LLaMA-Mesh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Zhengyi/LLaMA-Mesh: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/Zhengyi/LLaMA-Mesh/resolve/refs%2Fpr%2F4/tokenizer.json
- Command line
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hf download hf://Zhengyi/LLaMA-Mesh@refs/pr/4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Zhengyi/LLaMA-Mesh/resolve/refs%2Fpr%2F4/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.