Text Classification
setfit
Safetensors
sentence-transformers
roberta
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use CabraVC/emb_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use CabraVC/emb_classifier_model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("CabraVC/emb_classifier_model") - sentence-transformers
How to use CabraVC/emb_classifier_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CabraVC/emb_classifier_model") 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] - Notebooks
- Google Colab
- Kaggle
Commit ·
d8c6762
1
Parent(s): 241ff7c
Add SetFit model
Browse files- config_setfit.json +2 -2
- model.safetensors +1 -1
- model_head.pkl +1 -1
config_setfit.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"labels": [
|
| 3 |
"BUY",
|
| 4 |
"HOLD",
|
| 5 |
"SELL"
|
| 6 |
-
]
|
| 7 |
-
"normalize_embeddings": false
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"normalize_embeddings": false,
|
| 3 |
"labels": [
|
| 4 |
"BUY",
|
| 5 |
"HOLD",
|
| 6 |
"SELL"
|
| 7 |
+
]
|
|
|
|
| 8 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 328485128
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3e63f29af6dcaa4618287e5be6a4d0d4c578ce901fb25706720efc5ab6bb18f
|
| 3 |
size 328485128
|
model_head.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 19439
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:776c210c1cf27dc48ebbe6cede8b4ec34a6600730f16d7c6d3e920cd7d839fad
|
| 3 |
size 19439
|