Instructions to use Open-Reasoner-Zero/Open-Reasoner-Zero-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Open-Reasoner-Zero/Open-Reasoner-Zero-7B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-7B") model = AutoModelForCausalLM.from_pretrained("Open-Reasoner-Zero/Open-Reasoner-Zero-7B") - Notebooks
- Google Colab
- Kaggle
Upload 3 files
Browse files- .gitattributes +3 -0
- figure/logo.jpg +3 -0
- figure/teaser.png +3 -0
- figure/train_curve.png +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
figure/logo.jpg filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
figure/teaser.png filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
figure/train_curve.png filter=lfs diff=lfs merge=lfs -text
|
figure/logo.jpg
ADDED
|
Git LFS Details
|
figure/teaser.png
ADDED
|
Git LFS Details
|
figure/train_curve.png
ADDED
|
Git LFS Details
|