Image-Text-to-Text
PEFT
Safetensors
Japanese
ocr
manga
lora
fine-tuning
japanese
vision-language
multimodal
conversational
Eval Results (legacy)
Instructions to use psyka-101/GLM-OCR-Manga-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use psyka-101/GLM-OCR-Manga-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-OCR") model = PeftModel.from_pretrained(base_model, "psyka-101/GLM-OCR-Manga-LoRA") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from psyka-101/GLM-OCR-Manga-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 5.59 kB
-
https://huggingface.co/psyka-101/GLM-OCR-Manga-LoRA/resolve/main/training_args.bin
- Command line
-
hf download hf://psyka-101/GLM-OCR-Manga-LoRA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/psyka-101/GLM-OCR-Manga-LoRA/resolve/main/training_args.bin
5.59 kB
- Xet hash:
- a0b9fc6576fe5d3dead52d9a6eec45b7500cb4d768e8984450e6e63b46800b3f
- Size of remote file:
- 5.59 kB
- SHA256:
- 17d0904350ec3cac340f5f4264a7fdac37e5e51f1efd4243975931f79bcdea75
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