Instructions to use entropy/erbb1_mlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entropy/erbb1_mlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="entropy/erbb1_mlp", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entropy/erbb1_mlp", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4907316eb72cd0bdcec683a363c76a2b8076b279fcf838ea879fe187d3990ce4
- Size of remote file:
- 51.5 MB
- SHA256:
- 1097de32765c4637b79c56ed14e718224e217ae9b654b72469e86db3265ca457
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