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:
- 9fe433be5924bceeddc83249e594829fbd419be690aff4f243215b0d7423dc15
- Size of remote file:
- 17.1 MB
- SHA256:
- 87df8b5822e8de40a826123aac6fcd969f604772ff7754eb334529840f8501bc
路
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