Fill-Mask
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
chinesebert
MLM
custom_code
Instructions to use iioSnail/ChineseBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iioSnail/ChineseBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iioSnail/ChineseBERT-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iioSnail/ChineseBERT-base", trust_remote_code=True) model = AutoModel.from_pretrained("iioSnail/ChineseBERT-base", trust_remote_code=True) - 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:e899444655a3ece0fec5a80aaf513b5e5439236b8d4922afdb403b236cbf0704
|
| 3 |
+
size 591842512
|