Instructions to use Mhammad2023/SmolLM2-FT-BigCode-Python-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mhammad2023/SmolLM2-FT-BigCode-Python-Lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mhammad2023/SmolLM2-FT-BigCode-Python-Lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Mhammad2023/SmolLM2-FT-BigCode-Python-Lora: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/Mhammad2023/SmolLM2-FT-BigCode-Python-Lora/resolve/main/tokenizer.json
- Command line
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hf download hf://Mhammad2023/SmolLM2-FT-BigCode-Python-Lora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Mhammad2023/SmolLM2-FT-BigCode-Python-Lora/resolve/main/tokenizer.json
3.52 MB
File too large to display, you can check the raw version instead.