Instructions to use FirstPotatoCoder/Furina_5e_fft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FirstPotatoCoder/Furina_5e_fft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="FirstPotatoCoder/Furina_5e_fft")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("FirstPotatoCoder/Furina_5e_fft") model = AutoModelForTextToWaveform.from_pretrained("FirstPotatoCoder/Furina_5e_fft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload processor
Browse files- tokenizer.json +2 -2
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:529d18ee0f18a8a446ae0b4310c6675823231b366a7ea3fddfc488cf7f2277d6
|
| 3 |
+
size 17210149
|