Instructions to use textattack/roberta-base-MNLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-MNLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-MNLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-MNLI") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-MNLI") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
6f2e633
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Parent(s): cc3c420
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:e1ec3edcdf16602cba75e79929b888fa01c8170f38fe9bdf109d41ae0cb2adea
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size 498598977
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