Instructions to use facebook/mms-tts-bmr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-bmr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-bmr")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-bmr") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-bmr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
72c2b0e
1
Parent(s): 2b22e76
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 sha256:79ff1509377e3dcc44bb636e8eca6d081d86cc1cce1b432b5fbaaa7ef1c96fa9
|
| 3 |
+
size 145221368
|