Instructions to use sheoran95/augmented_data_without_edge_document_level_baseBART_run3 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_baseBART_run3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/augmented_data_without_edge_document_level_baseBART_run3") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/augmented_data_without_edge_document_level_baseBART_run3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5eafd61ab32af5c692f1a471c8f1b9876958a0dd9030f579df9f67370fbdd190
- Size of remote file:
- 558 MB
- SHA256:
- 72a1c6162f871344a006e9f1d2642acb1873ad2fa71897d0e7e8da04305fac82
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