Instructions to use noweshere/song-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries
PEFT
How to use noweshere/song-chatbot with PEFT:
```
Task type is invalid.
```

How to use noweshere/song-chatbot with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="noweshere/song-chatbot",
	filename="Gpt2-124M-F16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use noweshere/song-chatbot with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf noweshere/song-chatbot:F16
# Run inference directly in the terminal:
llama cli -hf noweshere/song-chatbot:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf noweshere/song-chatbot:F16
# Run inference directly in the terminal:
llama cli -hf noweshere/song-chatbot:F16

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf noweshere/song-chatbot:F16
# Run inference directly in the terminal:
./llama-cli -hf noweshere/song-chatbot:F16

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf noweshere/song-chatbot:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf noweshere/song-chatbot:F16

Use Docker

docker model run hf.co/noweshere/song-chatbot:F16

LM Studio
Jan
Ollama
How to use noweshere/song-chatbot with Ollama:
```
ollama run hf.co/noweshere/song-chatbot:F16
```

Unsloth Studio

How to use noweshere/song-chatbot 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 noweshere/song-chatbot 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 noweshere/song-chatbot to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for noweshere/song-chatbot to start chatting

Atomic Chat new
Docker Model Runner
How to use noweshere/song-chatbot with Docker Model Runner:
```
docker model run hf.co/noweshere/song-chatbot:F16
```

Lemonade

How to use noweshere/song-chatbot with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull noweshere/song-chatbot:F16

Run and chat with the model

lemonade run user.song-chatbot-F16

List all available models

lemonade list

song-chatbot / README.md

noweshere

Update README.md

9c4becf verified about 21 hours ago

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	---
	base_model: gpt2
	library_name: peft
	license: mit
	datasets:
	- maharshipandya/spotify-tracks-dataset
	language:
	- en
	---

	## Model Details

	### Model Description

	Using 'gpt2' and the 'maharshipandya/spotify-tracks-dataset', this model can chat with the user on music related topics, like recomendations and new genres for the user to try.



	- Model type: gpt2
	- Language(s) (NLP): English
	- License: MIT
	- Finetuned from model: gpt2

	## How to Get Started with the Model

	Use the code below to get started with the model:
	```bash
	ollama run hf.co/noweshere/song-chatbot:F16
	```

	- PEFT 0.11.1