Instructions to use NlpHUST/bert-base-vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/bert-base-vn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NlpHUST/bert-base-vn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/bert-base-vn") model = AutoModelForMaskedLM.from_pretrained("NlpHUST/bert-base-vn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Merge branch 'main' of https://huggingface.co/nhanv/bert-base-vn into main
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a446473a63c05b2d727a7bbdab0b590c2fc0f7ec03a67a6c1acbe02a2bd0d6c4
|
| 3 |
+
size 534952299
|