Instructions to use lenatr99/fine_tuned_boolq_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lenatr99/fine_tuned_boolq_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lenatr99/fine_tuned_boolq_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lenatr99/fine_tuned_boolq_bert") model = AutoModelForSequenceClassification.from_pretrained("lenatr99/fine_tuned_boolq_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f398a66640c8a7593368e31bc09d39e2ca1c1da0f3cf03c9a197e6f1de3a0431
- Size of remote file:
- 4.98 kB
- SHA256:
- d882b7b991a8566e7bb27fbd28ea9d23e0abea444d7e99ac54b2ea340ce7aca3
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