Feature Extraction
Transformers
Safetensors
English
DeepseekOCR2
text-generation-inference
unsloth
deepseek_vl_v2
custom_code
Instructions to use hmqid03/deepseek-ocr2-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hmqid03/deepseek-ocr2-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hmqid03/deepseek-ocr2-vi", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hmqid03/deepseek-ocr2-vi", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("hmqid03/deepseek-ocr2-vi", trust_remote_code=True, device_map="auto")Quick Links
Uploaded finetuned model
- Developed by: hmqid03
- License: apache-2.0
- Finetuned from model : deepseek-ai/DeepSeek-OCR-2
This deepseek_vl_v2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for hmqid03/deepseek-ocr2-vi
Base model
deepseek-ai/DeepSeek-OCR-2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hmqid03/deepseek-ocr2-vi", trust_remote_code=True)