Instructions to use sheoran95/augmented_data_with_edge_document_level_baseBART_run2 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_baseBART_run2 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_baseBART_run2") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/augmented_data_with_edge_document_level_baseBART_run2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sheoran95/augmented_data_with_edge_document_level_baseBART_run2: direct link, hf CLI and curl.
- Browser
- Download file 3.84 kB
-
https://huggingface.co/sheoran95/augmented_data_with_edge_document_level_baseBART_run2/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://sheoran95/augmented_data_with_edge_document_level_baseBART_run2@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sheoran95/augmented_data_with_edge_document_level_baseBART_run2/resolve/refs%2Fpr%2F1/training_args.bin
3.84 kB
- Xet hash:
- 4c0c5ca68dd99458de2aecb1f13da5ab005f3961f1bf6fe38b1fe3e8a022404d
- Size of remote file:
- 3.84 kB
- SHA256:
- c3c49c1cfe36b66357f91a23a1cb2de539e305da9ba2020adc5e458059bc4d26
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