Image-to-Text
Transformers
Safetensors
English
vlm
feature-extraction
image-captioning
visual-question-answering
custom_code
Instructions to use unum-cloud/uform-gen2-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unum-cloud/uform-gen2-dpo with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="unum-cloud/uform-gen2-dpo", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unum-cloud/uform-gen2-dpo", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56be4ceb90b235c2128e6b51821e51fce31372fadfa64c7bb3ce19df3e55a0c1
- Size of remote file:
- 118 MB
- SHA256:
- 27ce47ee20f96a21f8c7ac2a1be36d838b973b5af28b2b0b0e993b86c8a35a27
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