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:
- 7acbc1f36df2fb971dd586f91529ccc47c3630992bda1e1dc6d3f37445f99730
- Size of remote file:
- 17.7 kB
- SHA256:
- 2d7c56a11100f12551ece7de06d1b5fe7522d36905c841a9b9f8c13da2f94eaa
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