Instructions to use Doohae/q_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Doohae/q_encoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Doohae/q_encoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -30,3 +30,4 @@ special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
|
|
| 30 |
tokenizer_config.json filter=lfs diff=lfs merge=lfs -text
|
| 31 |
vocab.txt filter=lfs diff=lfs merge=lfs -text
|
| 32 |
config.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 30 |
tokenizer_config.json filter=lfs diff=lfs merge=lfs -text
|
| 31 |
vocab.txt filter=lfs diff=lfs merge=lfs -text
|
| 32 |
config.json filter=lfs diff=lfs merge=lfs -text
|
| 33 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:352d9df02aa0ed6dfcb1e2095290953a5e6ccb9a56bc81c9b78df843528cea34
|
| 3 |
+
size 442496928
|