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:
- 0b38e2bc896d1eab5539fd4bfa90cff4dfed34598db95591df6efa931efc4c63
- Size of remote file:
- 3.44 kB
- SHA256:
- 2a616a472fa0ebd31a8246ba22af50e8d8198cfb8c9341b35319305953cb0181
路
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