Instructions to use vineetsharma/dialogsum-flan-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vineetsharma/dialogsum-flan-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vineetsharma/dialogsum-flan-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("vineetsharma/dialogsum-flan-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vineetsharma/dialogsum-flan-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/vineetsharma/dialogsum-flan-t5-base/resolve/main/training_args.bin
- Command line
-
hf download hf://vineetsharma/dialogsum-flan-t5-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vineetsharma/dialogsum-flan-t5-base/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 848dda49bcf75dde67e9420b42cb568c97fb93ad3968a5391f037f21dfdf5900
- Size of remote file:
- 4.03 kB
- SHA256:
- 325b47111c2e8235d522539e6de1d5b2c27abb80a7dd2fe20cadafedbacc05c7
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