Instructions to use NEUDM/PICA-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NEUDM/PICA-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="NEUDM/PICA-V1", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NEUDM/PICA-V1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 353c378f218ea7509e70301dc356bbb83bc1841781004c318404b56f1c385a30
- Size of remote file:
- 627 Bytes
- SHA256:
- 3d657de30ad193a0580177e9c5ace3e0ae692e82c1608bdc71fd56376b527dca
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