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 training_args.bin from techiaith/llama-3.2-1b-welsh-sft: direct link, hf CLI and curl.
- Browser
- Download file 6.35 kB
-
https://huggingface.co/techiaith/llama-3.2-1b-welsh-sft/resolve/main/training_args.bin
- Command line
-
hf download hf://techiaith/llama-3.2-1b-welsh-sft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/techiaith/llama-3.2-1b-welsh-sft/resolve/main/training_args.bin
6.35 kB
- Xet hash:
- 3018f54eeb79472a10c9d3d9267d86f7790806fe30779f20abda74f4a1ca180d
- Size of remote file:
- 6.35 kB
- SHA256:
- ef5c7751c2378f376b7fa4e133d08ef6b38fdb1969510d2a633436772c5a3146
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