Instructions to use lewispons/Email-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lewispons/Email-classifier-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lewispons/Email-classifier-v2") 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 lewispons/Email-classifier-v2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("lewispons/Email-classifier-v2") - 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 sha256:8fda4cdaecba7b78a36158aecb7392a096327160aeeef70842e2a2944da8b49e
|
| 3 |
+
size 90868376
|