Instructions to use Brendar/MaBePa_STSs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Brendar/MaBePa_STSs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Brendar/MaBePa_STSs")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Brendar/MaBePa_STSs") model = AutoModel.from_pretrained("Brendar/MaBePa_STSs") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c56dc4dc6cdb8f6f4834bf5e6c426a18e2083d582df989b0f517f479c4865f2b
|
| 3 |
+
size 439430072
|