Instructions to use hfl/chinese-pert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/chinese-pert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hfl/chinese-pert-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hfl/chinese-pert-base") model = AutoModel.from_pretrained("hfl/chinese-pert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,11 @@
|
|
| 1 |
---
|
| 2 |
-
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- zh
|
| 4 |
+
license: "cc-by-nc-sa-4.0"
|
| 5 |
---
|
| 6 |
+
|
| 7 |
+
# Please use 'Bert' related functions to load this model!
|
| 8 |
+
|
| 9 |
+
Under construction...
|
| 10 |
+
|
| 11 |
+
Please visit our GitHub repo for more information: https://github.com/ymcui/PERT
|