Instructions to use qinglinf/boolq_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qinglinf/boolq_baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qinglinf/boolq_baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("qinglinf/boolq_baseline") model = AutoModelForSequenceClassification.from_pretrained("qinglinf/boolq_baseline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a15e01a4900eb0dc7518a8be33094f0262c17b94bd671b96da1e3f4c1749a25c
- Size of remote file:
- 499 MB
- SHA256:
- a07dd1bb704b914d9ac026b721da41dd2127e943013b072c4057afa3f5ed8c1c
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