Instructions to use Misterpy/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Misterpy/models-moved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Misterpy/models-moved")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Misterpy/models-moved") model = AutoModel.from_pretrained("Misterpy/models-moved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33db112e1427d04ae227b468842ee51a1e83052445b38b2c7dade55972283931
- Size of remote file:
- 501 MB
- SHA256:
- 769b7e14b75c469dd9061595d1b89a61a32e901ff13d54f4d6d7a5de442d7211
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