Feature Extraction
Transformers
PyTorch
Safetensors
English
magi
Manga
Object Detection
OCR
Clustering
Diarisation
custom_code
Instructions to use ragavsachdeva/magi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ragavsachdeva/magi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ragavsachdeva/magi", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ragavsachdeva/magi", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e585a9405f4c7ba443e071459ed9cab2065ec2580282258e4d27169afc38529
- Size of remote file:
- 2.06 GB
- SHA256:
- b4f77488ed0205e8b74b7373850d06ab7661752688c5e4f28f35095931e97c14
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