Sentence Similarity
Transformers
PyTorch
Chinese
bert
feature-extraction
text2vec
text-embeddings-inference
Instructions to use GanymedeNil/text2vec-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanymedeNil/text2vec-base-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanymedeNil/text2vec-base-chinese") model = AutoModel.from_pretrained("GanymedeNil/text2vec-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
abb37a6
1
Parent(s): d859848
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,4 +3,11 @@ license: apache-2.0
|
|
| 3 |
language:
|
| 4 |
- zh
|
| 5 |
pipeline_tag: sentence-similarity
|
| 6 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
language:
|
| 4 |
- zh
|
| 5 |
pipeline_tag: sentence-similarity
|
| 6 |
+
tags:
|
| 7 |
+
- text2vec
|
| 8 |
+
- feature-extraction
|
| 9 |
+
- sentence-similarity
|
| 10 |
+
- transformers
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
Based on the derivative model of https://huggingface.co/shibing624/text2vec-base-chinese, replace MacBERT with LERT, and keep other training conditions unchanged。
|