Instructions to use enriquesaou/roberta_mrqa_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/roberta_mrqa_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="enriquesaou/roberta_mrqa_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("enriquesaou/roberta_mrqa_v1") model = AutoModelForQuestionAnswering.from_pretrained("enriquesaou/roberta_mrqa_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0040b874555ede2391021dc3bb9ed614b3c301dc50f7a2ced080ba309c1746d6
- Size of remote file:
- 5.05 kB
- SHA256:
- b0d3c00c07a0e9b5215a24a73a6f876ac8b01915603bd15bead0220d583f17dd
路
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