Instructions to use pvl/labse_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pvl/labse_bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("pvl/labse_bert") model = AutoModelForPreTraining.from_pretrained("pvl/labse_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e56932467bb1d8feac2829d76838d9738dcbce27c7c90b8addcd13c23f81f330
|
| 3 |
+
size 3429500404
|