Instructions to use CodeChamp95/bart_summary_financial_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeChamp95/bart_summary_financial_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CodeChamp95/bart_summary_financial_model") model = AutoModelForSeq2SeqLM.from_pretrained("CodeChamp95/bart_summary_financial_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2835408ac8a7f96a93111e2b9233bb7ce5e44011591ee445f1cad37dce3e44f
- Size of remote file:
- 558 MB
- SHA256:
- 59cb162c441972ff08617aed620de2b1f669720b5a420315079ea1314b6460b9
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