Instructions to use carlyou/SmolLM2-FT-MyDataset-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carlyou/SmolLM2-FT-MyDataset-Lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("carlyou/SmolLM2-FT-MyDataset-Lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from carlyou/SmolLM2-FT-MyDataset-Lora: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/carlyou/SmolLM2-FT-MyDataset-Lora/resolve/main/training_args.bin
- Command line
-
hf download hf://carlyou/SmolLM2-FT-MyDataset-Lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/carlyou/SmolLM2-FT-MyDataset-Lora/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- 815dac9d0c8e15df83a6afc064bd170a542590ec507e9cc4eb425c8ae4e5f0d9
- Size of remote file:
- 6.29 kB
- SHA256:
- 6d0bc5daa28e7ba14c1ccf1d424e7c16d3c3145180bae70efbb68b6935ebe4c1
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