Instructions to use askainet/bart_lfqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use askainet/bart_lfqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("askainet/bart_lfqa") model = AutoModelForSeq2SeqLM.from_pretrained("askainet/bart_lfqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44ee36ce333cdf2711a045e93db18594cba29ab551b179061463ff4675d97d99
- Size of remote file:
- 1.63 GB
- SHA256:
- 75eaab4cbd1dac20d21abb3ed2be6464a761983b79aad307ac38c39e7b22296b
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