Feature Extraction
Transformers
Safetensors
bert
text-embeddings-inference
8-bit precision
bitsandbytes
Instructions to use smokxy/all-MiniLM-L6-v2-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smokxy/all-MiniLM-L6-v2-quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="smokxy/all-MiniLM-L6-v2-quantized")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("smokxy/all-MiniLM-L6-v2-quantized") model = AutoModel.from_pretrained("smokxy/all-MiniLM-L6-v2-quantized") - Notebooks
- Google Colab
- Kaggle