Instructions to use altaidevorg/turkish-bge-m3-model2vec-turboquant-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use altaidevorg/turkish-bge-m3-model2vec-turboquant-4bit with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("altaidevorg/turkish-bge-m3-model2vec-turboquant-4bit") - Notebooks
- Google Colab
- Kaggle
Download config.json from altaidevorg/turkish-bge-m3-model2vec-turboquant-4bit: direct link, hf CLI and curl.
- Browser
- Download file 202 Bytes
-
https://huggingface.co/altaidevorg/turkish-bge-m3-model2vec-turboquant-4bit/resolve/main/config.json
- Command line
-
hf download hf://altaidevorg/turkish-bge-m3-model2vec-turboquant-4bit/config.json
-
curl -L -o config.json https://huggingface.co/altaidevorg/turkish-bge-m3-model2vec-turboquant-4bit/resolve/main/config.json
202 Bytes
| { | |
| "hidden_dim": 256, | |
| "vocab_size": 39655, | |
| "weighting_mode": "uniform", | |
| "normalize": true, | |
| "pooling": "mean", | |
| "embedding_dtype": "float16", | |
| "turboquant_bits": 4, | |
| "turboquant_qjl": false | |
| } |