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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 500238e6cd98d4d2410887d03c92e250bebec6165b86eb0f31aa5a6375339d0c
- Size of remote file:
- 4.09 kB
- SHA256:
- ebfd1f445e5bbcd9ff8d2472c3b9fdc586ae9964bd75fcb6e0ccce035c2fbfa8
路
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