Instructions to use FirstPotatoCoder/Yae_Miko_5e_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FirstPotatoCoder/Yae_Miko_5e_lm with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-to-audio", model="FirstPotatoCoder/Yae_Miko_5e_lm")

# Load model directly
from transformers import AutoFeatureExtractor, AutoModelForTextToWaveform

extractor = AutoFeatureExtractor.from_pretrained("FirstPotatoCoder/Yae_Miko_5e_lm")
model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/Yae_Miko_5e_lm")

Notebooks
Google Colab
Kaggle
Local Apps Settings

Unsloth Studio

How to use FirstPotatoCoder/Yae_Miko_5e_lm with 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 FirstPotatoCoder/Yae_Miko_5e_lm 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 FirstPotatoCoder/Yae_Miko_5e_lm to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for FirstPotatoCoder/Yae_Miko_5e_lm to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="FirstPotatoCoder/Yae_Miko_5e_lm",
    max_seq_length=2048,
)

Yae_Miko_5e_lm / model.safetensors

Commit History

(Trained with Unsloth)

9294602
verified

FirstPotatoCoder commited on Jul 24, 2025

Commit History

(Trained with Unsloth) 9294602 verified

(Trained with Unsloth)

9294602
verified