Instructions to use andersonbcdefg/bge-micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andersonbcdefg/bge-micro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="andersonbcdefg/bge-micro")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("andersonbcdefg/bge-micro") model = AutoModel.from_pretrained("andersonbcdefg/bge-micro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
c7b6855 -
Create README.md
09d7dec
-
Upload model
a6a6c13 -
Upload model
5dbaaf0 -
Upload tokenizer
4acd27e -
Upload config
5d23ba4
-
Upload model
8725eec -
Upload model
e8fd603 -
Upload model
25d2f94 -
Upload tokenizer
8ef0030 -
Upload config
d9e9a50 -
initial commit
89864f0