Instructions to use google/gemma-4-12B-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/gemma-4-12B-it") model = AutoModelForImageTextToText.from_pretrained("google/gemma-4-12B-it") - Notebooks
- Google Colab
- Kaggle
Add HLE evaluation result
#7
by SaylorTwift HF Staff - opened
YAML Metadata Error:Invalid content in Eval Result file .eval_results/hle.yaml
Check out the documentation for more information.
Show details
Task ID "hle" does not match any task in dataset "cais/hle". Available: none
- .eval_results/hle.yaml +9 -0
- model.safetensors +1 -1
.eval_results/hle.yaml
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- dataset:
|
| 2 |
+
id: cais/hle
|
| 3 |
+
task_id: hle
|
| 4 |
+
value: 5.2
|
| 5 |
+
date: '2026-05-23'
|
| 6 |
+
notes: No tools
|
| 7 |
+
source:
|
| 8 |
+
url: https://huggingface.co/google/gemma-4-12B-it
|
| 9 |
+
name: Model Card
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 23919549408
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:366b79fc7e2ea81106d45e2b3ca10e144925f93dd9d456396692825ddb7bb788
|
| 3 |
size 23919549408
|