Instructions to use henryscheible/stereoset_binary_roberta-large_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_binary_roberta-large_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_binary_roberta-large_classifieronly")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_binary_roberta-large_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_binary_roberta-large_classifieronly") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b94ba8c3cbf91e39751893bd9b81a434a1a87d1833b041494ad8adefc4693a3
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size 1421499616
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