Instructions to use krunchykat/test-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krunchykat/test-embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="krunchykat/test-embedding")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("krunchykat/test-embedding") model = AutoModel.from_pretrained("krunchykat/test-embedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 066f915
Update config.json
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config.json
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"_name_or_path": "/krunchykat/text-embedding/",
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"architectures": [
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"BertModel"
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],
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