Image-to-Text
Transformers
Safetensors
deepseek_vl_v2
feature-extraction
vision
ocr
quantized
qvlm
4-bit precision
deepseek
custom_code
8-bit precision
Instructions to use SamMikaelson/deepseek-ocr-qvlm-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamMikaelson/deepseek-ocr-qvlm-4bit 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="SamMikaelson/deepseek-ocr-qvlm-4bit", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SamMikaelson/deepseek-ocr-qvlm-4bit", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 127 Bytes
cad72e6 | 1 2 3 4 5 6 7 | {
"quantization_bits": 4,
"group_size": 128,
"vision_quantize": true,
"language_quantize": true,
"symmetric": false
} |