Instructions to use beva/heb-beavers-dam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beva/heb-beavers-dam with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beva/heb-beavers-dam", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload heb-beavers-dam.zip
Browse files- heb-beavers-dam.zip +3 -0
heb-beavers-dam.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:065d3040287866a72cb57d4406c6f25e55d553314d5b8fd563560ffca3923b92
|
| 3 |
+
size 406650594
|