Video Classification
Transformers
English
self-supervised-learning
v-jepa
laboratory-procedures
domain-adaptation
Instructions to use LabProc/tacit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LabProc/tacit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="LabProc/tacit")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LabProc/tacit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1427c5387a8f5806c143a5c2ea836c52add941f54aaa55c3178348a627b624c6
- Size of remote file:
- 1.22 GB
- SHA256:
- f24205a6fcf3533c7fa3d97ab6629d108fc7e8214c644eb8a80cf7c008a73fb9
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