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:
- f493541e4e3bd7eb947d68118d2b6e07c57edea1e6d397ccad96c89f1c07d1a3
- Size of remote file:
- 1.33 GB
- SHA256:
- 09c8e05d048133b004a7dfacbc2dd0d6788a99fde3c2ceedce26adfc3da5bf7b
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