Instructions to use valhalla/awesome-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/awesome-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="valhalla/awesome-model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("valhalla/awesome-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52e214d7303fdca656fc021d81ca4bce27c183bc30b9739f6dd1597e1eeff3b2
- Size of remote file:
- 2.24 kB
- SHA256:
- 37ab646b69a0f3771e34a402e9b85bc5d5124ea888d4c06d56103adbf4d98241
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