Zero-Shot Classification
ONNX
Safetensors
Laya
MLX
English
intent-classification
intent-detection
text-classification
chatbot
conversational-ai
customer-support
routing
out-of-scope-detection
int8
cpu
modernbert
ettin
distillation
knowledge-distillation
onnxruntime
apple-silicon
macos
metal
on-device
zero-shot
nlu
intent-router
semantic-router
llm-router
open-intent-detection
out-of-distribution-detection
customer-service
banking
e-commerce
edge
Eval Results (legacy)
Instructions to use vrajnotviraj/laya-intent-router-150m-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use vrajnotviraj/laya-intent-router-150m-onnx with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use vrajnotviraj/laya-intent-router-150m-onnx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download vrajnotviraj/laya-intent-router-150m-onnx --local-dir laya-intent-router-150m-onnx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 607 Bytes
d228ae1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
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"act_costs": {
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"encoder": "jhu-clsp/ettin-encoder-150m",
"model_name": "laya-student",
"amp_dtype": "bf16",
"temperature": [
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