Image-to-Text
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
vision-language-model
document-understanding
handwritten-text
insurance-forms
vqa
phi-3.5-vision
lora
qlora
unsloth
medical-forms
ocr-free
Eval Results (legacy)
text-generation-inference
Instructions to use solvrays/mdf-form-reader-phi35-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solvrays/mdf-form-reader-phi35-vision 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="solvrays/mdf-form-reader-phi35-vision")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("solvrays/mdf-form-reader-phi35-vision") model = AutoModelForMultimodalLM.from_pretrained("solvrays/mdf-form-reader-phi35-vision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 664f337c546274ab57b2cb2d564f355caab2328fd9e8588a711f755ea6a67cce
- Size of remote file:
- 11.4 MB
- SHA256:
- ff8cce547abc110590d19c6b5b6e0c6a7b4c8d1012d78b9c42131bae7f494a02
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