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:
- a4805231a95efacc16b18ce52bf038f05e18440aa502d15d537a0795a26bf56a
- Size of remote file:
- 1.42 GB
- SHA256:
- 1d54f0c32d42cd0ca2268878de5386bf651542ba6a41cebfd58eeb01a6b22280
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