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
MiniLM-L12_SQuAD / runs /Feb28_13-56-44_5b6399121224 /events.out.tfevents.1740751009.5b6399121224.393.0
- Xet hash:
- 2c7a31600a793f118fbb014e6dd468bf4302323c90353c44f793d376e38cda1a
- Size of remote file:
- 6.35 kB
- SHA256:
- 6e3ba0bd5713b3c1e01ffd8d503767798c82574c70d2c4a0ac6b8a74959737e2
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