Text Classification
Transformers
ONNX
Safetensors
English
llama
router
small-model
tiny-model
english
34m
text-embeddings-inference
Instructions to use vrishv/router-34M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vrishv/router-34M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vrishv/router-34M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vrishv/router-34M") model = AutoModelForSequenceClassification.from_pretrained("vrishv/router-34M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Card and ONNX copy
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Router v2: more and shorter maths, cleaner code examples
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Router v1: Viveka-34M sorting questions into 4 buckets
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initial commit
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