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Felladrin/onnx-Sheared-Pythia-160m

By Felladrin · ↓ 4 · ♥ 0 · Updated 2023-11-23

What's in this repo

This page lists the files in Felladrin/onnx-Sheared-Pythia-160m, including decoder_model_merged.onnx, decoder_model_merged_quantized.onnx.

  • 2 ONNX models (.onnx files)
  • 10 files, including 6 .json, 2 .onnx, 1 .md
  • Last updated 2023-11-23

ONNX files

File Size Download
onnx/decoder_model_merged.onnx — Download
onnx/decoder_model_merged_quantized.onnx — Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

INT8 ONNX version of princeton-nlp/Sheared-Pythia-160m to use with Transformers.js.

Example usage

Pipeline API
import { pipeline } from '@xenova/transformers';

const generator = await pipeline('text-generation', 'Felladrin/onnx-Sheared-Pythia-160m');
const output =  await generator('Once upon a time,', { add_special_tokens: true, max_new_tokens: 60, repetition_penalty: 1.2});
console.log(output);
Auto Classes
import { AutoModelForCausalLM, AutoTokenizer } from '@xenova/transformers';

const model_path = 'Felladrin/onnx-Sheared-Pythia-160m';
const model = await AutoModelForCausalLM.from_pretrained(model_path);
const tokenizer = await AutoTokenizer.from_pretrained(model_path);

const prompt = 'Once upon a time,';
const { input_ids } = tokenizer(prompt);
const tokens = await model.generate(input_ids, { max_new_tokens: 60, repetition_penalty: 1.2});
console.log(tokenizer.decode(tokens[0], { skip_special_tokens: true }));

Model info

text-generation transformers.js
transformers.js onnx gpt_neox text-generation base_model:princeton-nlp/Sheared-Pythia-160m base_model:quantized:princeton-nlp/Sheared-Pythia-160m license:apache-2.0 region:us
↓ 4 ♥ 0

Created: 2023-11-23

Updated: 2023-11-23

View on Hugging Face

Files (10)

.gitattributes
README.md
config.json
generation_config.json
onnx/decoder_model_merged.onnx ONNX
quantize_config.json
special_tokens_map.json
tokenizer.json
tokenizer_config.json

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