Instructions to use ggeraldo/bllossom-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ggeraldo/bllossom-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ggeraldo/bllossom-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a10564b59f5c53cd560bf4783d72ca4baecd69c8d99a6319a4d829f87d88116
- Size of remote file:
- 97.3 MB
- SHA256:
- 1aa8f1a83af6f2ee53de55cbbae2f5069635c68294ddb993f75588819f361e6a
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