Text-to-3D
Transformers
Safetensors
MLX
llama
text-generation
mesh-generation
text-generation-inference
Instructions to use alexgusevski/LLaMA-Mesh-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexgusevski/LLaMA-Mesh-mlx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("alexgusevski/LLaMA-Mesh-mlx") model = AutoModelForCausalLM.from_pretrained("alexgusevski/LLaMA-Mesh-mlx") - MLX
How to use alexgusevski/LLaMA-Mesh-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LLaMA-Mesh-mlx alexgusevski/LLaMA-Mesh-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|eot_id|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |