Token Classification
Transformers
PyTorch
Vietnamese
deberta-v2
transformer
vietnamese
nlp
bert
deberta
deberta-v3
Instructions to use Fsoft-AIC/videberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/videberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Fsoft-AIC/videberta-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fsoft-AIC/videberta-base", dtype="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 sha256:0704161bfab63dc3100b2cfed9435edef0587a7c1101e21e891f5b05b435a740
|
| 3 |
+
size 566901338
|