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welyjesch
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Enc_Tagalog_SparkTTS_tokenizer

unsloth
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How to use from
Unsloth Studio
Install Unsloth Studio (macOS, Linux, WSL) 
curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for welyjesch/Enc_Tagalog_SparkTTS_tokenizer to start chatting
Install Unsloth Studio (Windows) 
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for welyjesch/Enc_Tagalog_SparkTTS_tokenizer to start chatting
Using HuggingFace Spaces for Unsloth 
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for welyjesch/Enc_Tagalog_SparkTTS_tokenizer to start chatting
Load model with FastModel 
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="welyjesch/Enc_Tagalog_SparkTTS_tokenizer",
    max_seq_length=2048,
)
Quick Links

Model Description

This is a WIP tokenizer for a fully finetuned Model of Spark-TTS for Tagalog using Unsloth.

  • Developed by: Wely Jesch Sabalilag
  • Model type: Text to Speech
  • Language(s) (NLP): Filipino / Tagalog
  • License: MIT License (https://rem.mit-license.org/)
  • Finetuned from model [optional]: Spark-TTS (0.5B)

Model Sources [optional]

  • Repository: TBA
  • Paper [optional]: TBA
  • Demo [optional]: TBA
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