Instructions to use hedtorresca/llama3-peftLora-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hedtorresca/llama3-peftLora-finetuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hedtorresca/llama3-peftLora-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f564fb77dd1ef7e76dbc37338f67cd989841e611c85eb3bba746e83684934241
- Size of remote file:
- 3.42 MB
- SHA256:
- 8d039d4b811f6a44cda1ad9d3de8d66898686ceb382cb71ce1abb5073bae4a18
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