Instructions to use korca/textfooler-roberta-base-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korca/textfooler-roberta-base-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="korca/textfooler-roberta-base-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("korca/textfooler-roberta-base-boolq") model = AutoModelForSequenceClassification.from_pretrained("korca/textfooler-roberta-base-boolq") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd1df0b4de865db7498a09ada5f6f1a94ee5a750f675366ec20c99d624d27317
- Size of remote file:
- 499 MB
- SHA256:
- 1f922eb27a1381d87dc9edba1bf171c618914523c5c1cd709d2c22ddf72bbd03
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