Instructions to use FuuToru/XLM-processed-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FuuToru/XLM-processed-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FuuToru/XLM-processed-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FuuToru/XLM-processed-squad") model = AutoModelForQuestionAnswering.from_pretrained("FuuToru/XLM-processed-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc2ce55e2185effc02cf83de41341152884078a2e71ca565a7bc6d39e0445085
- Size of remote file:
- 4.09 kB
- SHA256:
- 4d43338aea579b569a81bcd64c9c6a7cab049ac978ee554cd5210b1364989a4b
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