Image-to-Text
Transformers
Safetensors
PEFT
Thai
DeepseekOCR2
feature-extraction
ocr
thai
thai-ocr
handwriting
unsloth
lora
merged
deepseek-ocr2
custom_code
Instructions to use phoritus/deepseek-ocr2-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phoritus/deepseek-ocr2-thai 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="phoritus/deepseek-ocr2-thai", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phoritus/deepseek-ocr2-thai", trust_remote_code=True, dtype="auto") - PEFT
How to use phoritus/deepseek-ocr2-thai with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use phoritus/deepseek-ocr2-thai with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for phoritus/deepseek-ocr2-thai to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for phoritus/deepseek-ocr2-thai to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for phoritus/deepseek-ocr2-thai to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="phoritus/deepseek-ocr2-thai", max_seq_length=2048, )
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!