Instructions to use xraychen/mqa-unsupsim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xraychen/mqa-unsupsim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="xraychen/mqa-unsupsim")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("xraychen/mqa-unsupsim") model = AutoModelForQuestionAnswering.from_pretrained("xraychen/mqa-unsupsim") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ac8e4f11f9bc8baa584fdcea9d5e506dc6a1376cab530b2cbbc1b8afa2e604c
- Size of remote file:
- 436 MB
- SHA256:
- 8b1a0b6ae50c480a2b2688f699810f563027fc6f924376bc010ef2d9cc4cc447
路
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