Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Cheng98/bert-base-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheng98/bert-base-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cheng98/bert-base-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cheng98/bert-base-boolq") model = AutoModelForSequenceClassification.from_pretrained("Cheng98/bert-base-boolq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa52b2cb66c825d83e6f756485f397011d4e18e89de95b9db269fe9814b2482c
- Size of remote file:
- 433 MB
- SHA256:
- be7f2e36f176caecf8e31e394ebf5369e69b3674c887c05a212df130820e2b33
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