Instructions to use supreethrao/t5-small-finetuned-aspectExtract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use supreethrao/t5-small-finetuned-aspectExtract with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("supreethrao/t5-small-finetuned-aspectExtract") model = AutoModelForSeq2SeqLM.from_pretrained("supreethrao/t5-small-finetuned-aspectExtract", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from supreethrao/t5-small-finetuned-aspectExtract: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/supreethrao/t5-small-finetuned-aspectExtract/resolve/main/training_args.bin
- Command line
-
hf download hf://supreethrao/t5-small-finetuned-aspectExtract/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/supreethrao/t5-small-finetuned-aspectExtract/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 8d066db4ee8fb18c08106484a2fd547343f3cebe2ed085165980ba68d4ab6fe6
- Size of remote file:
- 5.05 kB
- SHA256:
- 7e8dacad05583a73fcb5be83afe2731be30498ba7cbc50d0681de45fe30452c0
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