Instructions to use Cossale/mms-tts-guj-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cossale/mms-tts-guj-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Cossale/mms-tts-guj-train")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("Cossale/mms-tts-guj-train") model = AutoModelForTextToWaveform.from_pretrained("Cossale/mms-tts-guj-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +3 -2
- model.safetensors +2 -2
config.json
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{
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"activation_dropout": 0.1,
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"architectures": [
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"attention_dropout": 0.1,
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"depth_separable_channels": 2,
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"speaking_rate": 1.0,
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"spectrogram_bins": 513,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"upsample_initial_channel": 512,
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"upsample_kernel_sizes": [
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{
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"_name_or_path": "./tmp/vits_finetuned_guj",
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"activation_dropout": 0.1,
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"architectures": [
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"VitsModel"
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],
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"attention_dropout": 0.1,
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"depth_separable_channels": 2,
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"speaking_rate": 1.0,
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"spectrogram_bins": 513,
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"torch_dtype": "float32",
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"transformers_version": "4.44.0",
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"upsample_initial_channel": 512,
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"upsample_kernel_sizes": [
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:c349aaf089010cb9115082eea2a43087e33586fede9c8ec49224c29ea7e942c0
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size 145247608
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