Instructions to use michaelriedl/MonsterForge-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelriedl/MonsterForge-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="michaelriedl/MonsterForge-medium", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelriedl/MonsterForge-medium", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fba3a0671c41efc0c3b4613e690643cba7898838993a74d5743fde1b849d4e72
- Size of remote file:
- 96.2 MB
- SHA256:
- 4cb74d9d864a2aa6256ee59c7c1e8efb6ac2f0c73d61ac987e97a28f212ff09e
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