Instructions to use Xenova/tiny_starcoder_py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny_starcoder_py with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'Xenova/tiny_starcoder_py');
Commit History
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Add/update the quantized ONNX model files and README.md for Transformers.js v3β
Verified signature## Applied Quantizations ### β Based on `decoder_model.onnx` *with* slimming β³ β `int8`: `decoder_model_int8.onnx` (added) β³ β `uint8`: `decoder_model_uint8.onnx` (added) β³ β `q4`: `decoder_model_q4.onnx` (added) β³ β `q4f16`: `decoder_model_q4f16.onnx` (added) β³ β `bnb4`: `decoder_model_bnb4.onnx` (added) ### β Based on `decoder_model.onnx` *with* slimming β³ β `int8`: `decoder_model_int8.onnx` (added) β³ β `uint8`: `decoder_model_uint8.onnx` (added) β³ β `q4`: `decoder_model_q4.onnx` (added) β³ β `q4f16`: `decoder_model_q4f16.onnx` (added) β³ β `bnb4`: `decoder_model_bnb4.onnx` (added) ### β Based on `decoder_with_past_model.onnx` *with* slimming β³ β `fp16`: `decoder_with_past_model_fp16.onnx` (added) β³ β `int8`: `decoder_with_past_model_int8.onnx` (added) β³ β `uint8`: `decoder_with_past_model_uint8.onnx` (added) β³ β `q4`: `decoder_with_past_model_q4.onnx` (added) β³ β `q4f16`: `decoder_with_past_model_q4f16.onnx` (added) β³ β `bnb4`: `decoder_with_past_model_bnb4.onnx` (added) ### β β¦bed8038
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Upload fp16 ONNX weights
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