Instructions to use RyyDer/MiniLM-L12_SQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyyDer/MiniLM-L12_SQuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="RyyDer/MiniLM-L12_SQuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("RyyDer/MiniLM-L12_SQuAD") model = AutoModelForQuestionAnswering.from_pretrained("RyyDer/MiniLM-L12_SQuAD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cffaf6a111d45f572709695527419535620cdc0a2060adfd66db7e4c203810ec
- Size of remote file:
- 5.3 kB
- SHA256:
- b3cd798540c4d726e0e8fe8cd19b2d683e54c3b3f729d7ebb43ea16710924035
路
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