Instructions to use George-Ogden/roberta-base-cased-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use George-Ogden/roberta-base-cased-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="George-Ogden/roberta-base-cased-finetuned-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("George-Ogden/roberta-base-cased-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("George-Ogden/roberta-base-cased-finetuned-mnli") - Notebooks
- Google Colab
- Kaggle
Commit ·
d2c3dde
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Parent(s): c1eb6fa
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (7e272f4b002807a5049c1dfe9f1a4705ae8405d1)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:198f9937b75dc63d8f9d2f1dcdf54c44f9f32656fea52f177c752a668d830eba
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size 498620100
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