Feature Extraction
Transformers
Safetensors
English
mistral
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use Haon-Chen/speed-embedding-7b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Haon-Chen/speed-embedding-7b-instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Haon-Chen/speed-embedding-7b-instruct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Haon-Chen/speed-embedding-7b-instruct") model = AutoModel.from_pretrained("Haon-Chen/speed-embedding-7b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Merge branch 'main' of https://huggingface.co/Haon-Chen/speed-7b-instruct
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mteb results
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upload model weights
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initial commit
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