Instructions to use facebook/mms-tts-jam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-jam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-jam", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-jam") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-jam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
10c5b33
1
Parent(s): 26c6381
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:a8c5f4b4a11f403350b606745ab294f1af1214017f3de539162e2e6cd952180a
|
| 3 |
+
size 145220600
|