Instructions to use sheoran95/augmented_data_without_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_without_edge_document_level_baseBART_run2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sheoran95/augmented_data_without_edge_document_level_baseBART_run2") model = AutoModelForSeq2SeqLM.from_pretrained("sheoran95/augmented_data_without_edge_document_level_baseBART_run2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58325aee23d03c96fbd32b204d594f973043ab5c9b508bfb3f07f7c1d7110ba7
- Size of remote file:
- 558 MB
- SHA256:
- b1676124b55f512c93b8218b1aaec94e30d0d7df97c78d5aaee7c351a9c1c5ee
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