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:
- cabe033ab9b9653ce6d2ef9db6ab7802fe93ebe3a6bb54da061e7b4a84e5dae8
- Size of remote file:
- 2.83 GB
- SHA256:
- 475a39afaa56931679cd29bdf312ccb374b6630cffea1fd7d5bd20bb084e0d3f
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