Image-to-Text
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
vision-language-model
document-understanding
handwritten-text
insurance-forms
vqa
qwen2-vl
lora
qlora
unsloth
medical-forms
ocr-free
Eval Results (legacy)
text-generation-inference
Instructions to use solvrays/scribegene-llm-v0.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solvrays/scribegene-llm-v0.4 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/scribegene-llm-v0.4")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("solvrays/scribegene-llm-v0.4") model = AutoModelForMultimodalLM.from_pretrained("solvrays/scribegene-llm-v0.4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 3acaaf7b33fe195c736dda66feba0d0a114a1d1d052e237f8006801ee209635a
- Size of remote file:
- 16.6 GB
- SHA256:
- a81f8879746582e65fdaf6297532bce30a80f46c4d8b2843c4598a75c30a010f
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