Instructions to use hsuvaskakoty/bart_def_gen_40k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsuvaskakoty/bart_def_gen_40k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hsuvaskakoty/bart_def_gen_40k") model = AutoModelForSeq2SeqLM.from_pretrained("hsuvaskakoty/bart_def_gen_40k") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This is a fine-tuned BART model for Definition Generation. It is still in the prototype stage, fine-tuned only with 40k Training Instances of (definition, context) pairs for 3 epochs. The eval_loss is still in 2.30. The beam Size is 4.
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