Instructions to use benjamin/wtp-bert-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/wtp-bert-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="benjamin/wtp-bert-mini")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("benjamin/wtp-bert-mini", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model.onnx
Browse files- model.onnx +3 -0
model.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8172dde35079653b52b38180cc9f6e959e939f3ac5033092504f9c6ff338554e
|
| 3 |
+
size 22419654
|