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
Commit ·
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Parent(s): 43873dd
Upload RobertaForSequenceClassification
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "out/6.10_checkpoint/",
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pytorch_model.bin
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