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
Commit ·
c825bf4
1
Parent(s): acba482
Upload rank_zephyr_7b_v1_full.zip
Browse files
rank_zephyr_7b_v1_full.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa81a0838227687b2560d2d00b61744c0c51bc0208e9b4accb9cb38fc5bc8c28
|
| 3 |
+
size 4294228933
|