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")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("bhaswata08/MAEFORMER") model = AutoModelForVideoClassification.from_pretrained("bhaswata08/MAEFORMER") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForVideoClassification
processor = AutoImageProcessor.from_pretrained("bhaswata08/MAEFORMER")
model = AutoModelForVideoClassification.from_pretrained("bhaswata08/MAEFORMER")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is the ckpt file for MaEFomer for Shruti-Drishti Project, for Sign Language Recognition for ISL(Indian Sign Language Datset) for Open-Source Hackathon.
Refer to the Source Code here: https://github.com/pranjalkar99/shruti-drishti
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="bhaswata08/MAEFORMER")