Instructions to use Z3K3/jubbaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Z3K3/jubbaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Z3K3/jubbaModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("Z3K3/jubbaModel") model = AutoModelForTextToWaveform.from_pretrained("Z3K3/jubbaModel") - Notebooks
- Google Colab
- Kaggle
Upload 3 files
Browse files- compression_state_dict.bin +3 -0
- spiece.model +3 -0
- state_dict.bin +3 -0
compression_state_dict.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37d256b525d4117f8bbf790ab448a8e9f4746cd401900fe1ae72e154b1513a30
|
| 3 |
+
size 236001935
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
state_dict.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbc9f401db2aba7518adf208ce5a56aca4ece335242e8274ce1ebd3dfbc86cf5
|
| 3 |
+
size 3677668599
|