Instructions to use cipherpy/gemma-otolith with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cipherpy/gemma-otolith with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cipherpy/gemma-otolith", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 50
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2839126480
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a41b44330120025cf7c2a07d1595011a99bc4352eba5bee87f9475a06f32590d
|
| 3 |
size 2839126480
|
runs/Jul31_15-31-28_gpu-dom-cmlre/events.out.tfevents.1753956090.gpu-dom-cmlre.1429792.0
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 sha256:92dc1ea5f90f8d5df54487376906ac5d39cd1ad3b2090275ed0226b45cb84198
|
| 3 |
+
size 5658797
|