Instructions to use yumiian/qa_en_ms_model_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yumiian/qa_en_ms_model_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="yumiian/qa_en_ms_model_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("yumiian/qa_en_ms_model_v2") model = AutoModelForQuestionAnswering.from_pretrained("yumiian/qa_en_ms_model_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43be97c5a3203282ca47d3d620b57c88b8d42f0043e59788b479c99e76ca3699
- Size of remote file:
- 242 MB
- SHA256:
- 07882949af10f983f80a5b945bd30755e38aa6771023c855e5972b73bb203931
路
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