Instructions to use LTP/base1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LTP/base1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LTP/base1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Uploaded model
Browse files
README.md
CHANGED
|
@@ -2,14 +2,9 @@
|
|
| 2 |
license: other
|
| 3 |
---
|
| 4 |
|
| 5 |
-
|
| 6 |
-
| ------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
| 7 |
-
| [Python](python/interface/README.md) | [](https://pypi.org/project/ltp) [](https://pypi.org/project/ltp-core) [](https://pypi.org/project/ltp-extension) |
|
| 8 |
-
| [Rust](rust/ltp/README.md) | [](https://crates.io/crates/ltp) |
|
| 9 |
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
LTP(Language Technology Platform) 提供了一系列中文自然语言处理工具,用户可以使用这些工具对于中文文本进行分词、词性标注、句法分析等等工作。
|
| 13 |
|
| 14 |
## 引用
|
| 15 |
|
|
|
|
| 2 |
license: other
|
| 3 |
---
|
| 4 |
|
| 5 |
+
# LTP 4
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
+
[LTP](https://github.com/HIT-SCIR/ltp)(Language Technology Platform) 提供了一系列中文自然语言处理工具,用户可以使用这些工具对于中文文本进行分词、词性标注、句法分析等等工作。
|
|
|
|
|
|
|
| 8 |
|
| 9 |
## 引用
|
| 10 |
|