Instructions to use Library-Mutsumi/midi-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Library-Mutsumi/midi-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Library-Mutsumi/midi-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +56 -0
- config.json +87 -0
- generation_config.json +4 -0
- model.safetensors +3 -0
- onnx/model_base.onnx +3 -0
- onnx/model_token.onnx +3 -0
- pytorch_model.bin +3 -0
- soundfont.sf2 +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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soundfont.sf2 filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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datasets:
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- projectlosangeles/Los-Angeles-MIDI-Dataset
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library_name: transformers
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tags:
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- music
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- midi
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- music generation
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- midi generation
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---
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# Model Card for midi-model
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Midi event transformer for music generation
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### Model Updates
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- tv2o-medium model: MidiTokenizerV2. [skytnt/midi-model-tv2o-medium](https://huggingface.co/skytnt/midi-model-tv2o-medium)
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- v1.2 : Optimise the tokenizer and dataset. The dataset was filtered by MIDITokenizer.check_quality. Using the higher quality dataset to train the model, the performance of the model is significantly improved.
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## Model Details
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### Model Description
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- **Developed by:** SkyTNT
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- **Model type:** Transformer
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- **License:** apache-2.0
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### Model Sources
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- **Repository:** https://github.com/SkyTNT/midi-model
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- **Demo:** https://huggingface.co/spaces/skytnt/midi-composer
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## Training Details
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### Training Data
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- [projectlosangeles/Los-Angeles-MIDI-Dataset](https://huggingface.co/datasets/projectlosangeles/Los-Angeles-MIDI-Dataset)
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#### Training Hyperparameters
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- basemodel: v1.1
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- lr: 1e-4
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- weight-decay: 0.01
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- batch: 2x2x2
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- fp16 mixed precision
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#### Loss
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- val loss: 0.238
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## Files
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- model.ckpt: latest model checkpoint
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- soundfont.sf2: soundfont file, i put it here for convenient downloading , [source](https://github.com/musescore/MuseScore/tree/master/share/sound)
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- onnx/*.onnx: onnx format model
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config.json
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{
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"architectures": [
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"MIDIModel"
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],
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"model_type": "midi_model",
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"n_embd": 1024,
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"net_config": {
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"hidden_size": 1024,
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"intermediate_size": 4096,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 12,
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"num_key_value_heads": 16,
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"pad_token_id": 0,
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"use_cache": false,
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"vocab_size": 3239
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},
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"net_token_config": {
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"hidden_size": 1024,
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"intermediate_size": 1024,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 4,
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"num_hidden_layers": 3,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"use_cache": false,
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"vocab_size": 3239
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},
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"tokenizer": {
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"bos_id": 1,
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"eos_id": 2,
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"event_parameters": {
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"bpm": 256,
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"channel": 16,
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"controller": 128,
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"duration": 2048,
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"patch": 128,
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"pitch": 128,
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"time1": 128,
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"time2": 16,
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"track": 128,
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"value": 128,
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"velocity": 128
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},
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"events": {
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"control_change": [
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"time1",
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"time2",
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"track",
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"channel",
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"controller",
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"value"
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],
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"note": [
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"time1",
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"time2",
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"track",
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"duration",
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"channel",
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"pitch",
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"velocity"
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],
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"patch_change": [
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"time1",
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"time2",
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"track",
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"channel",
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"patch"
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],
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"set_tempo": [
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"time1",
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"time2",
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"track",
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"bpm"
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]
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},
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"max_token_seq": 8,
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"optimise_midi": false,
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"pad_id": 0,
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"version": "v1",
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"vocab_size": 3239
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},
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"torch_dtype": "float32",
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"transformers_version": "4.44.2"
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}
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generation_config.json
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{
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"_from_model_config": true,
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"transformers_version": "4.44.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:61b7c01753df96e30b9e6a9c89300f7d69d1da82d4fe6a8d3740f4c7884b0ce5
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size 933334232
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onnx/model_base.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:66c80e17d437c7c8f00d5974849f55fc3aa6ae55db4def3f2ba18670b7f7d8a9
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size 821029854
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onnx/model_token.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:7966c5a853424797de4e3ea3d3eb65f0544b18d8b5a11d00cbb1b45d99968416
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size 115293316
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b294cd18e89de546cca434d33f6bbda61c9d9108e04e6b58a8575654d55400ff
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size 933367626
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soundfont.sf2
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ea2375e8bd7d8e71def1036978c1621e85b66934169b6a2744b27b9b3c2d99c
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size 51278610
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