Instructions to use textattack/facebook-bart-base-glue-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-base-glue-RTE with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-base-glue-RTE") model = AutoModelForSeq2SeqLM.from_pretrained("textattack/facebook-bart-base-glue-RTE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64bcd68b550b04983b6f87e67062f625740527fe1a28f8ecd27bfe672ebe6c79
- Size of remote file:
- 560 MB
- SHA256:
- ce97d4652b834b929bf2b9ee90c01307b29dd4234dacb0137091967bf62280d7
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