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:
- 8d8ff8df836c4e032c65b6ff34aafb04e5dd79f8ea4a3c790aeb3a084a82e964
- Size of remote file:
- 3.96 kB
- SHA256:
- 2a7317d57843de51bc3494add8422c9807a70f1ebb84b24f1d55c54896286df4
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