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:
- e5b53a88fc9610089ed97fedb470c122ead0d8358b3a0ca1742e7321ed878d6f
- Size of remote file:
- 3.44 kB
- SHA256:
- 305309f6a6f71e2482713f294dcd7c6c274976f249ca514509a4f0803eebd03c
路
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