Instructions to use Mantis-VL/mantis-8b-idefics2-video-eval_6144_regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mantis-VL/mantis-8b-idefics2-video-eval_6144_regression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mantis-VL/mantis-8b-idefics2-video-eval_6144_regression")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("Mantis-VL/mantis-8b-idefics2-video-eval_6144_regression") model = AutoModelForSequenceClassification.from_pretrained("Mantis-VL/mantis-8b-idefics2-video-eval_6144_regression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 610cdd2ae9186aae16756f90ec42ffbad63b380e8e341c5392f38b4aa8b7883e
- Size of remote file:
- 6.71 kB
- SHA256:
- 1a789b18443dce6f74aafe413bd4120ea2714c5eddf22a3ac8df2c2c1ecfa0f4
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