Feature Extraction
Transformers
Safetensors
English
deepseek_vl_v2
text-generation-inference
unsloth
custom_code
Instructions to use cortex-ai-nova/NOVA-OCR2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cortex-ai-nova/NOVA-OCR2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cortex-ai-nova/NOVA-OCR2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cortex-ai-nova/NOVA-OCR2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 601 Bytes
7749441 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ---
base_model: deepseek-ai/DeepSeek-OCR-2
tags:
- text-generation-inference
- transformers
- unsloth
- deepseek_vl_v2
license: apache-2.0
language:
- en
---
# Uploaded finetuned model
- **Developed by:** cortex-ai-nova
- **License:** apache-2.0
- **Finetuned from model :** deepseek-ai/DeepSeek-OCR-2
This deepseek_vl_v2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
|