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:
- 473f8869d18f94820d34da8b312c7777a8c8c99eeeb8ae58d34f78502e987733
- Size of remote file:
- 17.7 kB
- SHA256:
- b3ccff6598db764f7dc672cf3ac055026364d447cfbefaf50d9e50b20e1d06a8
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