Instructions to use bhaswata08/MAEFORMER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhaswata08/MAEFORMER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="bhaswata08/MAEFORMER")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("bhaswata08/MAEFORMER") model = AutoModelForVideoClassification.from_pretrained("bhaswata08/MAEFORMER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from bhaswata08/MAEFORMER: direct link, hf CLI and curl.
- Browser
- Download file 690 MB
-
https://huggingface.co/bhaswata08/MAEFORMER/resolve/main/optimizer.pt
- Command line
-
hf download hf://bhaswata08/MAEFORMER/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/bhaswata08/MAEFORMER/resolve/main/optimizer.pt
690 MB
- Xet hash:
- ded28e97c157fd3b8fb011bafc55b798432d30e91a902654ed2eea5091fde10b
- Size of remote file:
- 690 MB
- SHA256:
- 6f054503863c37bce539495bdebbb94328ede0220e09f0bfd657456308e37513
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