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:
- 3d94b36e7b893888ffb71b51da8d856a7cb93e513f89f1457cbc02e6b7b6600b
- Size of remote file:
- 133 MB
- SHA256:
- 1ed35e554bd04007c7de2ed382439228efe2c43a925d92422c8cd0164d777bd1
路
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