Instructions to use agopalkr/pi-0-cotraining-bridge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agopalkr/pi-0-cotraining-bridge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="agopalkr/pi-0-cotraining-bridge", trust_remote_code=True)# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("agopalkr/pi-0-cotraining-bridge", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d68038ba978350b454c592277890a0b7d8f2dd551fad30c460811412c078a51d
- Size of remote file:
- 17.5 MB
- SHA256:
- 397a1cb4a32e90640d54910e7a93be16040d6d296b4d5734543043365894bb9c
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