Instructions to use FuuToru/XLM-processed-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FuuToru/XLM-processed-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FuuToru/XLM-processed-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FuuToru/XLM-processed-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("FuuToru/XLM-processed-squadv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12aca979aee5cfc3d87191190cdc581b4a325deaf05187c384711190025c2f88
- Size of remote file:
- 496 MB
- SHA256:
- dcc539f8ac75319eabad689b4df997a2864c8d4a1544934ab5eb024185e53618
路
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