Instructions to use sheoran95/augmented_data_with_edge_document_level_BART_run1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheoran95/augmented_data_with_edge_document_level_BART_run1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/augmented_data_with_edge_document_level_BART_run1") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/augmented_data_with_edge_document_level_BART_run1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sheoran95/augmented_data_with_edge_document_level_BART_run1: direct link, hf CLI and curl.
- Browser
- Download file 3.84 kB
-
https://huggingface.co/sheoran95/augmented_data_with_edge_document_level_BART_run1/resolve/main/training_args.bin
- Command line
-
hf download hf://sheoran95/augmented_data_with_edge_document_level_BART_run1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sheoran95/augmented_data_with_edge_document_level_BART_run1/resolve/main/training_args.bin
3.84 kB
- Xet hash:
- 80aa7b5472a079007d6b52bd601bc75d6ca29bf23a510a22e94d303a6523fb97
- Size of remote file:
- 3.84 kB
- SHA256:
- 1cd4d44603162b2d4eba103b820b025f1eaeb57526457f3a5094895e14e1243d
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