Text-to-Speech
Transformers
Plateau Malagasy
pl-bert
plbert
albert
malagasy
african-languages
low-resource
masked-language-modeling
phoneme
Instructions to use mimba/plbert-plt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mimba/plbert-plt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="mimba/plbert-plt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mimba/plbert-plt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c328b826fffbcdf1a91dc52caa89dc696ef1f1befc10c45cf954cfb7fe2cf85d
- Size of remote file:
- 3.76 GB
- SHA256:
- 041739bc315df409dfb9d09f88c9c4d392175e5e9a4cabc36aa28c253636646a
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