Instructions to use FuuToru/XLM-processed2-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FuuToru/XLM-processed2-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FuuToru/XLM-processed2-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FuuToru/XLM-processed2-squad") model = AutoModelForQuestionAnswering.from_pretrained("FuuToru/XLM-processed2-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f9c20690eb3b32ae382df3afd3f1b1d050c93249c5d2b574f13b23ffaa8d7fe
- Size of remote file:
- 496 MB
- SHA256:
- 5628f8054c94f6ddeddad49a824573fb9f7571ad04725ce9df1570f07c8a90f0
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