Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Cheng98/bert-large-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheng98/bert-large-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cheng98/bert-large-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cheng98/bert-large-boolq") model = AutoModelForSequenceClassification.from_pretrained("Cheng98/bert-large-boolq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1ac81327af9c7e39bb7d998e8519add787937e1d85019724c40ca261126b7f8
- Size of remote file:
- 3.96 kB
- SHA256:
- 7cc5a4b111de42d82d2e0312fc3660c44a2822aa287d7173e3e06d983bcc309c
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