Instructions to use LightChen2333/joint-bert-slu-snips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/joint-bert-slu-snips with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/joint-bert-slu-snips", device_map="auto") - 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 sha256:97170c84d94f79c9683b18a0646cec00661d13ff36340f9d73ba114f3e5da68b
|
| 3 |
+
size 438207780
|