Instructions to use gsgoncalves/roberta-base-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsgoncalves/roberta-base-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsgoncalves/roberta-base-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gsgoncalves/roberta-base-boolq") model = AutoModelForSequenceClassification.from_pretrained("gsgoncalves/roberta-base-boolq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6b852bc95a594bdfa2b0bcdc2d7fd4781b42a9527806e5ff95e630f09fbf375
- Size of remote file:
- 499 MB
- SHA256:
- f13c521b8e4a1863cd99723396b4bec77f151ea18ba4a75c3300bc13f2f06fa2
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