Instructions to use TurkishCodeMan/csm-1b-lora-fft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TurkishCodeMan/csm-1b-lora-fft with Transformers:

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

pipe = pipeline("text-to-speech", model="TurkishCodeMan/csm-1b-lora-fft")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TurkishCodeMan/csm-1b-lora-fft", dtype="auto")

PEFT
How to use TurkishCodeMan/csm-1b-lora-fft with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use TurkishCodeMan/csm-1b-lora-fft 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 TurkishCodeMan/csm-1b-lora-fft 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 TurkishCodeMan/csm-1b-lora-fft to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TurkishCodeMan/csm-1b-lora-fft to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="TurkishCodeMan/csm-1b-lora-fft",
    max_seq_length=2048,
)

csm-1b-lora-fft / app.py

Commit History

Create app.py

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matroks commited on Apr 19

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Create app.py abc41b6 verified

Create app.py

abc41b6
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