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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("phoritus/deepseek-ocr2-thai", trust_remote_code=True, device_map="auto") - PEFT
How to use phoritus/deepseek-ocr2-thai with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from phoritus/deepseek-ocr2-thai: direct link, hf CLI and curl.
- Browser
- Download file 9.98 MB
-
https://huggingface.co/phoritus/deepseek-ocr2-thai/resolve/main/tokenizer.json
- Command line
-
hf download hf://phoritus/deepseek-ocr2-thai/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/phoritus/deepseek-ocr2-thai/resolve/main/tokenizer.json
9.98 MB
File too large to display, you can check the raw version instead.