Instructions to use klima7/midi-ganerator-game with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klima7/midi-ganerator-game with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="klima7/midi-ganerator-game", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("klima7/midi-ganerator-game", trust_remote_code=True) model = AutoModel.from_pretrained("klima7/midi-ganerator-game", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
Model based on facebook/opt-125m trained on small dataset to generate music from old games in midi format.
Usage
!pip install miditok==3.0.2
from transformers import AutoModel, AutoModelForCausalLM
from miditok import MIDITokenizer
tokenizer = MIDITokenizer.from_pretrained('lklimkiewicz/midi-ganerator-game')
model = AutoModel.from_pretrained('lklimkiewicz/midi-ganerator-game', trust_remote_code=True).cuda()
music = model.generate_music(tokenizer)
music.dump_midi('out.mid')
!timidity out.mid
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