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
Upload model.safetensors
Browse files- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b23e7938725682cdc92341aa1a493812d61ec795b47a20d5c659e8e93d0a6b5
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size 165507776
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