Text Classification
Transformers
Safetensors
bert
regression
Generated from Trainer
text-embeddings-inference
Instructions to use rebego/stsb-all-MiniLM-L6-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rebego/stsb-all-MiniLM-L6-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rebego/stsb-all-MiniLM-L6-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rebego/stsb-all-MiniLM-L6-v2") model = AutoModelForSequenceClassification.from_pretrained("rebego/stsb-all-MiniLM-L6-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37a1665c74b01ff4031d922b1bf6637412eacc405baa1bb1f5092c63fe0896eb
- Size of remote file:
- 5.24 kB
- SHA256:
- 61a90a3d6d353e9679a790d314469312b701e048f5f1849eecc16f5009c64b4c
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