Instructions to use RyyDer/MiniLM-L6_SQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyyDer/MiniLM-L6_SQuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="RyyDer/MiniLM-L6_SQuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("RyyDer/MiniLM-L6_SQuAD") model = AutoModelForQuestionAnswering.from_pretrained("RyyDer/MiniLM-L6_SQuAD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f517fc5bf849ea99d1834a6ac292a55c76e0d9ef2f9eab0e5cf80bc2d137e860
- Size of remote file:
- 5.3 kB
- SHA256:
- 885d60b8f1c8ae1a89549b6f130986265abd084829c09c44d0aec961c8b4c2d2
路
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