Instructions to use henryscheible/xlnet-base-cased_winobias_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/xlnet-base-cased_winobias_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/xlnet-base-cased_winobias_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/xlnet-base-cased_winobias_finetuned") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/xlnet-base-cased_winobias_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e31fa8c0c93e6e3618eb939c0bb06cb4c0c75cd7e592bd75c647203396edde84
- Size of remote file:
- 3.52 kB
- SHA256:
- 21e6f6f90bc3ce9d2e52e4bd527ace0a4b6c4925c0aff1e50ced28d3ccfa87c1
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