Image-to-Text
Transformers
Safetensors
English
vlm
text-generation
image-captioning
visual-question-answering
Instructions to use unum-cloud/uform-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unum-cloud/uform-gen 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-gen")# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("unum-cloud/uform-gen", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 1088423c3e0adba44280c73061b9ec3801b95b741b86c073b8c8bfdce62aa702
- Size of remote file:
- 2.89 MB
- SHA256:
- 765fbe907ead3316bbac16656e76648df888b6a4ad1b6945c3a500d0327e7b5c
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