Instructions to use textattack/roberta-base-QNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-QNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-QNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-QNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-QNLI") - Notebooks
- Google Colab
- Kaggle
Commit ·
68887d8
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Parent(s): 71a689b
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:64f1d1d41f95a1220fe144ea396388fe0399413ebda50a59c0d1f4d9b627cffc
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size 498595901
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