Instructions to use amphora/KorFinASC-mT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphora/KorFinASC-mT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amphora/KorFinASC-mT5") model = AutoModelForSeq2SeqLM.from_pretrained("amphora/KorFinASC-mT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from amphora/KorFinASC-mT5: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/amphora/KorFinASC-mT5/resolve/main/tokenizer.json
- Command line
-
hf download hf://amphora/KorFinASC-mT5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/amphora/KorFinASC-mT5/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 1b56903fecb72bb8417a008546f4a6dec8f9f69d2cbbc6d1debd3b3a5af2501d
- Size of remote file:
- 16.3 MB
- SHA256:
- 7628130e408a1d1109112f70066af1da17243104c7474522847e2cf010f228a2
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