Instructions to use henryscheible/winobias_roberta-base_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/winobias_roberta-base_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/winobias_roberta-base_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/winobias_roberta-base_finetuned") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/winobias_roberta-base_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60f49442099ddf081ef53281c4c7a87b919b8cac11c0fc5e607036b7116605b5
- Size of remote file:
- 499 MB
- SHA256:
- 9a84ab752c3a162fcaaea12afbb961b345a4ee0d0b6a4736a7589775a3a9d19c
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