Instructions to use sheoran95/augmented_data_without_edge_document_level_T5_run2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheoran95/augmented_data_without_edge_document_level_T5_run2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/augmented_data_without_edge_document_level_T5_run2") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/augmented_data_without_edge_document_level_T5_run2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sheoran95/augmented_data_without_edge_document_level_T5_run2: direct link, hf CLI and curl.
- Browser
- Download file 3.84 kB
-
https://huggingface.co/sheoran95/augmented_data_without_edge_document_level_T5_run2/resolve/main/training_args.bin
- Command line
-
hf download hf://sheoran95/augmented_data_without_edge_document_level_T5_run2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sheoran95/augmented_data_without_edge_document_level_T5_run2/resolve/main/training_args.bin
3.84 kB
- Xet hash:
- 94b6853a06439444bbde1aa07104b600eb93aef09d436e26bd31c0dc5591da83
- Size of remote file:
- 3.84 kB
- SHA256:
- 5b3bd7c404d3862a41f0850ec993dedc98bd2e0d15e62e2a0589adbd923e365a
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