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:
- 2ef8a03a3a8ba5a3b05a576bd39621a2e1a98b1047c1be74f0f07ad7195fd516
- Size of remote file:
- 14 MB
- SHA256:
- 9630ca9bedc77f79f16f918865406e8a68a54ce4deea5e130b6561c28dc1ceb1
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