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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("unum-cloud/uform-gen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from unum-cloud/uform-gen: direct link, hf CLI and curl.
- Browser
- Download file 71 Bytes
-
https://huggingface.co/unum-cloud/uform-gen/resolve/fe62f45ce2714a6a69f925ad2a13058de31a0921/added_tokens.json
- Command line
-
hf download hf://unum-cloud/uform-gen@fe62f45ce2714a6a69f925ad2a13058de31a0921/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/unum-cloud/uform-gen/resolve/fe62f45ce2714a6a69f925ad2a13058de31a0921/added_tokens.json
71 Bytes
| { | |
| "<image>": 32002, | |
| "<|im_end|>": 32001, | |
| "<|im_start|>": 32000 | |
| } | |