Instructions to use techiaith/llama-3.2-1b-welsh-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techiaith/llama-3.2-1b-welsh-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("techiaith/llama-3.2-1b-welsh-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download trainer_state.json from techiaith/llama-3.2-1b-welsh-sft: direct link, hf CLI and curl.
- Browser
- Download file 768 kB
-
https://huggingface.co/techiaith/llama-3.2-1b-welsh-sft/resolve/main/trainer_state.json
- Command line
-
hf download hf://techiaith/llama-3.2-1b-welsh-sft/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/techiaith/llama-3.2-1b-welsh-sft/resolve/main/trainer_state.json
768 kB
File too large to display, you can check the raw version instead.