Instructions to use r1ck/vi-sentence-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use r1ck/vi-sentence-embedding with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("r1ck/vi-sentence-embedding") model = AutoModelForMaskedLM.from_pretrained("r1ck/vi-sentence-embedding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2740364acc5cd3457b96ab4ffb137a2c178c8cecc39290eb045363d844d7b14b
|
| 3 |
+
size 540281612
|