metadata
license: apache-2.0
tags:
- audio
- speech
- language-model
- auristream
library_name: transformers
AuriStream7BDeep_40Pred_BigAudioDataset_500k-randinit
AuriStream is a speech language model by Greta Tuckute and Klemen Kotar.
This model predicts cochlear tokens from a tokenizer such as WavCochCausalV8192.
This repository contains a freshly initialized AuriStream7B40PredDeepConfig model. The weights are random and have not been trained from a checkpoint.
Model Details
| Parameter | Value |
|---|---|
| Parameters | ~8.41B |
| Layers | 96 |
| Hidden Size | 2560 |
| Attention Heads | 32 |
| Vocab Size | 8192 |
| Prediction Steps | 40 |
Usage
from transformers import AutoModel, AutoConfig
# Load with trust_remote_code for custom model
model = AutoModel.from_pretrained(
"TuKoResearch/AuriStream7BDeep_40Pred_BigAudioDataset_500k-randinit",
trust_remote_code=True,
)
# Or load config first
config = AutoConfig.from_pretrained("TuKoResearch/AuriStream7BDeep_40Pred_BigAudioDataset_500k-randinit", trust_remote_code=True)
Base Model Code
This checkpoint uses shared model code from TuKoResearch/AuriStream-base.
Tokenizer
This model uses cochlear tokens from WavCochCausalV8192.