Instructions to use obss/roberta-large-answer-extraction-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obss/roberta-large-answer-extraction-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="obss/roberta-large-answer-extraction-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("obss/roberta-large-answer-extraction-mrqa") model = AutoModelForTokenClassification.from_pretrained("obss/roberta-large-answer-extraction-mrqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 676e719c181693cebc32f9a8b9ff5656d317c2e57d62861e278ab4e8f5e5f7cb
- Size of remote file:
- 2.42 kB
- SHA256:
- e7b5aabe905b80a3f338326b74bc91382252767f6d9066d870b24d084942b025
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