Image Feature Extraction
Transformers
Safetensors
monkeyocrv2_vitae_encoder
feature-extraction
custom_code
Instructions to use zenosai/MonkeyOCRv2-AS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenosai/MonkeyOCRv2-AS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="zenosai/MonkeyOCRv2-AS", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zenosai/MonkeyOCRv2-AS", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature51778e7
-
Update README.md
Verified signature240c1a8
-
Update README.md
Verified signaturef0077b5
-
Update README.md
Verified signature6d34d2c
-
Update README.md
Verified signature1e3630c
-
Update README.md
Verified signaturebddf4c9 -
Update pipeline tag to image-feature-extraction and add library name (#1)
- Update pipeline tag to image-feature-extraction and add library name (ea1e44eab70a79ae5b109c0a2bf13e673750feef) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>5699ab6
-
Update README.md
Verified signaturefa05838
-
Upload folder using huggingface_hub
Verified signaturebb5b74a -
initial commit
Verified signature2a9d199