Feature Extraction
Transformers
Safetensors
qwen3
embeddings
semantic-search
hebrew
aramaic
torah
jewish-texts
otzaria
text-embeddings-inference
Instructions to use EMD123/Otzaria-Embedding-V1-Flash-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMD123/Otzaria-Embedding-V1-Flash-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EMD123/Otzaria-Embedding-V1-Flash-0.6B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EMD123/Otzaria-Embedding-V1-Flash-0.6B") model = AutoModel.from_pretrained("EMD123/Otzaria-Embedding-V1-Flash-0.6B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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