Instructions to use idah4/qa_kor_math_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use idah4/qa_kor_math_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("idah4/qa_kor_math_2") model = AutoModelForSeq2SeqLM.from_pretrained("idah4/qa_kor_math_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from idah4/qa_kor_math_2: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/idah4/qa_kor_math_2/resolve/main/training_args.bin
- Command line
-
hf download hf://idah4/qa_kor_math_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/idah4/qa_kor_math_2/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- ed7c6fdcef1f37d8bb1f161ec5dcdce41bca8566d082ca50e06753f6cc199b50
- Size of remote file:
- 5.05 kB
- SHA256:
- f4953f478aaf16d452e6a5f7be3686e96405c7484349b000624cfab9468959a8
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