Instructions to use prithivida/flashrank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivida/flashrank with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prithivida/flashrank", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload miniReranker_arabic_v1.zip
Browse files
miniReranker_arabic_v1.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76e4e02634709e7d18fcf05dae47f4910073bed158212b80115c0bc096b15187
|
| 3 |
+
size 225040340
|