Instructions to use adalbertojunior/clip-rpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adalbertojunior/clip-rpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="adalbertojunior/clip-rpt")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("adalbertojunior/clip-rpt") model = AutoModel.from_pretrained("adalbertojunior/clip-rpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74fde76f9139a3b5d83dd889597c3907a747efb8b4fe5386ac3de42bc1bbeab4
- Size of remote file:
- 3.25 kB
- SHA256:
- 3c25d2efb4754daaf7fac41aa658c405d1444a3be6a3038531bbc578925dcaf9
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