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:
- f92e795c377fabb062b2f009283874104be9b0de06f164eac92cade45d43a12f
- Size of remote file:
- 17.7 kB
- SHA256:
- ae12612b3afdbf56ad7a8fc61d148e20408d9a65331d6680e24168cbd731e9c4
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