Instructions to use Chillyblast/Roberta_Question_Answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chillyblast/Roberta_Question_Answer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Chillyblast/Roberta_Question_Answer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Chillyblast/Roberta_Question_Answer") model = AutoModelForSequenceClassification.from_pretrained("Chillyblast/Roberta_Question_Answer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b6c3aa854692d2c66f1ae3faaece27dd27f2d1839172b16f279313feaf0b227
- Size of remote file:
- 499 MB
- SHA256:
- 98820826d7e4c736a27f99e764d303793f175ea33f86a5a4c16ad365ce7ed2e6
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