Instructions to use daotc2/xlmr-qa-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daotc2/xlmr-qa-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="daotc2/xlmr-qa-large")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daotc2/xlmr-qa-large") model = AutoModelForQuestionAnswering.from_pretrained("daotc2/xlmr-qa-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cde8a243122d59e5dcd8acb64e5261520749bab209ce34ef27f3f90d7e5a1449
- Size of remote file:
- 2.24 GB
- SHA256:
- d199d859a6f99d6c8f4ed8d82ab857772a2b165e024efc9041f40714f04e3abb
路
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