Instructions to use Dundalia/BART_lfqa_oracle_gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dundalia/BART_lfqa_oracle_gpt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dundalia/BART_lfqa_oracle_gpt") model = AutoModelForSeq2SeqLM.from_pretrained("Dundalia/BART_lfqa_oracle_gpt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d20599a86ed54b2138a04c17cfdd9249ef3a38319f3852e948535add0c9a56c
- Size of remote file:
- 1.63 GB
- SHA256:
- 44a47077222072f8277ad8f8ae0f61d182f86da748ccb1b8948880fd9b75a6da
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