Instructions to use KBLab/bert-base-swedish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bert-base-swedish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KBLab/bert-base-swedish-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KBLab/bert-base-swedish-cased") model = AutoModelForMaskedLM.from_pretrained("KBLab/bert-base-swedish-cased", device_map="auto") - Inference
- 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:d6942a15af4c323203aa484442adab339272038d6b0ea5929040aa12a7c7235a
|
| 3 |
+
size 657798732
|