Instructions to use davanstrien/dataset_mentions2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use davanstrien/dataset_mentions2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("davanstrien/dataset_mentions2") 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 davanstrien/dataset_mentions2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("davanstrien/dataset_mentions2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:97bfc08f304a93b1b50a88c11c35d1a16e124d91962734493429a1ce1c063817
|
| 3 |
+
size 46741600
|