Instructions to use chunping-hf/myT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chunping-hf/myT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chunping-hf/myT5") model = AutoModelForSeq2SeqLM.from_pretrained("chunping-hf/myT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from chunping-hf/myT5: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/chunping-hf/myT5/resolve/main/tokenizer.json
- Command line
-
hf download hf://chunping-hf/myT5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chunping-hf/myT5/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- d0d407e384b99f59359bd27080070763e29b103e47786ebdead65268825be2f2
- Size of remote file:
- 16.3 MB
- SHA256:
- fb639c2744c7a6b4b12f5472b233165092d6f26638504d4b1c7ebacd6d7bb0b7
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