Instructions to use GleghornLab/CAMP_nat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/CAMP_nat with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CAMP model = CAMP.from_pretrained("GleghornLab/CAMP_nat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 34000
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1570427506
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b013b4c375623c89d8eeb7940f0cea8bcdb95db5b525342768b24c64a9a1e38e
|
| 3 |
size 1570427506
|