Instructions to use facebook/mms-tts-sas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-sas with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-sas")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-sas") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-sas") - Notebooks
- Google Colab
- Kaggle
Commit ·
b5a5ffa
1
Parent(s): b82de8c
Upload model
Browse files- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:305f1ed886e7e69cb0b22ed698f852e35a751c811e17602528e0b53a8bae4270
|
| 3 |
+
size 145221368
|