Image-to-Text
Transformers
Safetensors
vision-language-model
document-intelligence
ocr
form-extraction
confidence-scoring
production-ready
enterprise
lora
quantization
Instructions to use abrarali113/d360_vlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abrarali113/d360_vlm 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="abrarali113/d360_vlm")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abrarali113/d360_vlm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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