Text-to-Speech
Transformers
Safetensors
Kabyle
matoub
feature-extraction
kabyle
taqbaylit
berber
amazigh
speech-synthesis
styletts2
low-resource
custom_code
Instructions to use agbalu/Matoub-82M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agbalu/Matoub-82M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="agbalu/Matoub-82M", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("agbalu/Matoub-82M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "checkpoint": "artifacts/matoub/epoch_2nd_00003.pth", | |
| "epoch": 3, | |
| "iterations": 13944, | |
| "validation_loss": 0.34749212861061096, | |
| "reference": "artifacts/matoub/reference_kab_male.wav", | |
| "parameters": 81731256, | |
| "voice_norm": 2.0576, | |
| "voice_acoustic_norm": 1.348, | |
| "voice_prosodic_norm": 1.5546, | |
| "checkpoint_bytes": 1929793334, | |
| "weights_bytes": 326977440, | |
| "files": [ | |
| { | |
| "name": "README.md", | |
| "bytes": 17514, | |
| "sha256": "39a4c817b8b55370b66edcb955f46a39b00d6843e475a5a7a8f26c3cd730300b" | |
| }, | |
| { | |
| "name": "__init__.py", | |
| "bytes": 67, | |
| "sha256": "b49eb05048f3cc003e0739a2d280902279b5e03df3462e396cf39d2f6b625225" | |
| }, | |
| { | |
| "name": "config.json", | |
| "bytes": 1135, | |
| "sha256": "c7baff25c6c87cc7d3433934fd7517b171c576b6a16474a1a4ca4d876d73d48c" | |
| }, | |
| { | |
| "name": "configuration_matoub.py", | |
| "bytes": 2738, | |
| "sha256": "af0f83806014d439ec87b816bac77a14579179a7d53c1922fe830b94a5121b15" | |
| }, | |
| { | |
| "name": "istftnet.py", | |
| "bytes": 15783, | |
| "sha256": "fed3f4303626dd70842e2cae3da78b3862901d97ddf59057d93839739478d7b5" | |
| }, | |
| { | |
| "name": "model.safetensors", | |
| "bytes": 326977440, | |
| "sha256": "9c794adca72e8997d6213ddc15688c3a93c7eef76798ee49fee0c74028615c13" | |
| }, | |
| { | |
| "name": "modeling_matoub.py", | |
| "bytes": 13735, | |
| "sha256": "ffa1f1656f9b08bf0f4edf323c1797f0822ce3096c6a04d9b42a3ffa06a7c233" | |
| }, | |
| { | |
| "name": "tokenization_matoub.py", | |
| "bytes": 8086, | |
| "sha256": "c95fdf4bd23efa649287662a0059d9053d17c8cab4fade383784e084cc422416" | |
| }, | |
| { | |
| "name": "tokenizer_config.json", | |
| "bytes": 482, | |
| "sha256": "52cac28b6e8d7800f9389bec00bd3d4364673ed379f4923b17c59e7b2a4e01f9" | |
| }, | |
| { | |
| "name": "vocab.json", | |
| "bytes": 1419, | |
| "sha256": "27eb058bd6bd8ceb403c4a0c97c4ac2a59fea9913c9a338675d6298465db73a6" | |
| } | |
| ] | |
| } | |