Instructions to use msterbentz/roberta-base-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msterbentz/roberta-base-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="msterbentz/roberta-base-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("msterbentz/roberta-base-boolq") model = AutoModelForSequenceClassification.from_pretrained("msterbentz/roberta-base-boolq") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d6786640a2ae7d6efaf3c1d0b193047ec4b6a1d34933a5275141aeba7941d8d
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size 498617024
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