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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f1804d79a74084f34a3339e29a4728e034a3aa17a74dff05710f4214d9a51d8
- Size of remote file:
- 4.09 kB
- SHA256:
- 183482b25b347a8fee61fe46c986f3ab555cb14fc38b042f5ce3c3379997b012
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