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:
- 2196d8add2752f8051b2018837b9a0eaa4d1c4b6dd9fe107f25734d9cceb5c49
- Size of remote file:
- 496 MB
- SHA256:
- faff223f035c59033efdb1065df523efc406e1c3b6774ba8be48202384c0c35a
路
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