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
File size: 133 Bytes
2376edc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:397a1cb4a32e90640d54910e7a93be16040d6d296b4d5734543043365894bb9c
size 17549786
|