Instructions to use Intel/intel-optimized-model-for-embeddings-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/intel-optimized-model-for-embeddings-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Intel/intel-optimized-model-for-embeddings-v1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Intel/intel-optimized-model-for-embeddings-v1") model = AutoModel.from_pretrained("Intel/intel-optimized-model-for-embeddings-v1") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 0 Bytes
- SHA256:
- e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
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