Fill-Mask
Transformers
PyTorch
Vietnamese
xlm-roberta
Vietnamese
Social Media
Vietnamese Pre-trained Model
Sentiment Analysis
Hate Speech Detection
Spam Detection
Emotionn Recognition
Instructions to use uitnlp/visobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uitnlp/visobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uitnlp/visobert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uitnlp/visobert") model = AutoModelForMaskedLM.from_pretrained("uitnlp/visobert") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:e6e40390d87a032c639c230833a1f6351fde88be5e215d0c58dc24335205ab3f
|
| 3 |
+
size 390358320
|