Feature Extraction
Transformers
Safetensors
deepseek_vl_v2
ocr
vision-language
fp8
quantized
deepseek
custom_code
compressed-tensors
Instructions to use richarddavison/DeepSeek-OCR-2-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use richarddavison/DeepSeek-OCR-2-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="richarddavison/DeepSeek-OCR-2-FP8", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("richarddavison/DeepSeek-OCR-2-FP8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cda154717cae037769a841cbf9741383afadfd62af0a5c4247e423ad9ed1e08
- Size of remote file:
- 3.74 GB
- SHA256:
- 68425ba61cf48398d60e93ed0f43a12c51fdfacd26b669a0918264646d9c89ce
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