Instructions to use daotc2/xlmr-base-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daotc2/xlmr-base-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="daotc2/xlmr-base-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("daotc2/xlmr-base-qa") model = AutoModelForQuestionAnswering.from_pretrained("daotc2/xlmr-base-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c55b24beb389aba16237b3356959afbb0a7a1b54086dfd96a74e1348973c66b
- Size of remote file:
- 1.11 GB
- SHA256:
- 6c22a8d656fc3091727e4574b541a9f4d208fd516c94bff30338a1f8890e9b43
路
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