Instructions to use Shriramnag/Shiv-AI-Song-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Shriramnag/Shiv-AI-Song-Generator with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Shriramnag/Shiv-AI-Song-Generator",
	filename="Shiv-AI-Song-Model.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Shriramnag/Shiv-AI-Song-Generator with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Shriramnag/Shiv-AI-Song-Generator
# Run inference directly in the terminal:
llama-cli -hf Shriramnag/Shiv-AI-Song-Generator

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Shriramnag/Shiv-AI-Song-Generator
# Run inference directly in the terminal:
llama-cli -hf Shriramnag/Shiv-AI-Song-Generator

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 Shriramnag/Shiv-AI-Song-Generator
# Run inference directly in the terminal:
./llama-cli -hf Shriramnag/Shiv-AI-Song-Generator

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 Shriramnag/Shiv-AI-Song-Generator
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Shriramnag/Shiv-AI-Song-Generator

Use Docker

docker model run hf.co/Shriramnag/Shiv-AI-Song-Generator

LM Studio
Jan
Ollama
How to use Shriramnag/Shiv-AI-Song-Generator with Ollama:
```
ollama run hf.co/Shriramnag/Shiv-AI-Song-Generator
```

Unsloth Studio new

How to use Shriramnag/Shiv-AI-Song-Generator 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 Shriramnag/Shiv-AI-Song-Generator 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 Shriramnag/Shiv-AI-Song-Generator to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Shriramnag/Shiv-AI-Song-Generator to start chatting

Docker Model Runner
How to use Shriramnag/Shiv-AI-Song-Generator with Docker Model Runner:
```
docker model run hf.co/Shriramnag/Shiv-AI-Song-Generator
```

Lemonade

How to use Shriramnag/Shiv-AI-Song-Generator with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Shriramnag/Shiv-AI-Song-Generator

Run and chat with the model

lemonade run user.Shiv-AI-Song-Generator-{{QUANT_TAG}}

List all available models

lemonade list

Shriramnag commited on Mar 14

Commit

7b310ad

verified ·

1 Parent(s): 0e86db9

Upload config.json with huggingface_hub

Browse files

Files changed (1) hide show

config.json +298 -0

config.json ADDED Viewed

	@@ -0,0 +1,298 @@

+{
+  "_commit_hash": null,
+  "architectures": [
+    "MusicgenForConditionalGeneration"
+  ],
+  "audio_encoder": {
+    "_name_or_path": "facebook/encodec_32khz",
+    "add_cross_attention": false,
+    "architectures": [
+      "EncodecModel"
+    ],
+    "audio_channels": 1,
+    "bad_words_ids": null,
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+      "1": "LABEL_1"
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+  "model_type": "musicgen",
+  "text_encoder": {
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+        "prefix": "translate English to Romanian: "
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+}