Instructions to use optimum/all-MiniLM-L6-v2-neuron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/all-MiniLM-L6-v2-neuron with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="optimum/all-MiniLM-L6-v2-neuron")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("optimum/all-MiniLM-L6-v2-neuron") model = AutoModel.from_pretrained("optimum/all-MiniLM-L6-v2-neuron", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d87a39fe480115deaa46545e2197ae12ff5519b1b0ae99ab58ec651e4e501c12
- Size of remote file:
- 61.8 MB
- SHA256:
- 3b7859fa11fcb01cb65723f208a571a726ea4a341af6b93eb9d0ec841a4f617a
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