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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("agopalkr/pi-0-cotraining-bridge", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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2376edc | 1 2 3 4 5 6 7 | {
"auto_map": {
"AutoProcessor": "processing_prismatic.PrismaticProcessor"
},
"processor_class": "PrismaticProcessor"
}
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