Instructions to use korca/bae-roberta-base-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/bae-roberta-base-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="korca/bae-roberta-base-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("korca/bae-roberta-base-boolq") model = AutoModelForSequenceClassification.from_pretrained("korca/bae-roberta-base-boolq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12c5c9520450e82ff85499926cb055e3399a27448435d1346c79d40662251650
- Size of remote file:
- 499 MB
- SHA256:
- 4879605ee8e5bfe2dadd6e9fb556a8eed58b1f7d29a1ec42c80b532484a44133
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