Instructions to use lingchensanwen/t5_model_1st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lingchensanwen/t5_model_1st with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lingchensanwen/t5_model_1st") model = AutoModelForSeq2SeqLM.from_pretrained("lingchensanwen/t5_model_1st", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lingchensanwen/t5_model_1st: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/lingchensanwen/t5_model_1st/resolve/main/training_args.bin
- Command line
-
hf download hf://lingchensanwen/t5_model_1st/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lingchensanwen/t5_model_1st/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- c7309bfb8b609befbd00bd2257cfabef7987c9278b532c1fdf57e52d3a728791
- Size of remote file:
- 5.11 kB
- SHA256:
- 0ea64377ec9c8bcd128974f7d0a073e9e11c347a2747820b96c5ae148f265b51
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