Instructions to use YakovElm/Apache20SetFitModel_Train_balance_ratio_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use YakovElm/Apache20SetFitModel_Train_balance_ratio_3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("YakovElm/Apache20SetFitModel_Train_balance_ratio_3") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use YakovElm/Apache20SetFitModel_Train_balance_ratio_3 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("YakovElm/Apache20SetFitModel_Train_balance_ratio_3") - 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 sha256:5cd5a4030b4b017b0ea561b483a1541ca4d50ba259e28c5a9adab5c7361304aa
|
| 3 |
+
size 437971872
|