Text Classification
Transformers
PyTorch
TensorBoard
Vietnamese
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ndbao2002/bert-base-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ndbao2002/bert-base-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ndbao2002/bert-base-vi")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ndbao2002/bert-base-vi") model = AutoModelForSequenceClassification.from_pretrained("ndbao2002/bert-base-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438010997
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4d11b7a25135073d9d7a93557eae020acad37d3a0fdc4ac84f4efe7dc7b4bc08
|
| 3 |
size 438010997
|
runs/Apr02_10-01-15_f6b96d503954/events.out.tfevents.1680429682.f6b96d503954.137.8
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:504eda0c6d314a029a1a998e4163ba0b1990ca52b748a9986c85ce254f2c0e86
|
| 3 |
+
size 5347
|