Feature Extraction
Transformers
Safetensors
English
clamr
multimodal
video-retrieval
late-interaction
Instructions to use meetdavidwan/clamr_msrvtt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meetdavidwan/clamr_msrvtt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="meetdavidwan/clamr_msrvtt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meetdavidwan/clamr_msrvtt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd2f092eeec244c0448f13e31edd4b25e625568713e4155993a3dea90c7437a
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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