Instructions to use zenosai/MonkeyOCRv2-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zenosai/MonkeyOCRv2-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="zenosai/MonkeyOCRv2-B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zenosai/MonkeyOCRv2-B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b35a17ab7a5d722a3a5bdfb462697dcda8417fa79fc3d20a23b2a3e2fccaaba6
- Size of remote file:
- 455 MB
- SHA256:
- a9f059fc5a7afb6e9d2ad64b5db02dfc8e846d4b713460f4b3c0b2468a4d52e1
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