Instructions to use MouezYazidi/Falcon3Coder-10B-Base_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MouezYazidi/Falcon3Coder-10B-Base_LoRA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MouezYazidi/Falcon3Coder-10B-Base_LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from MouezYazidi/Falcon3Coder-10B-Base_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 9.78 MB
-
https://huggingface.co/MouezYazidi/Falcon3Coder-10B-Base_LoRA/resolve/main/tokenizer.json
- Command line
-
hf download hf://MouezYazidi/Falcon3Coder-10B-Base_LoRA/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/MouezYazidi/Falcon3Coder-10B-Base_LoRA/resolve/main/tokenizer.json
9.78 MB
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