Instructions to use henryscheible/winobias_roberta-large_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/winobias_roberta-large_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/winobias_roberta-large_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/winobias_roberta-large_finetuned") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/winobias_roberta-large_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d018521556c24349b56c9881a7311f442e217aad75a05dca38ae74069bcf4e58
- Size of remote file:
- 1.42 GB
- SHA256:
- d3c98786938227e687373460d7ec359c302115f84d1d1bf6569366069702396a
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