Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use gehaustein/PolyQual-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use gehaustein/PolyQual-2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("gehaustein/PolyQual-2") - sentence-transformers
How to use gehaustein/PolyQual-2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gehaustein/PolyQual-2") 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
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -12,7 +12,30 @@ widget:
|
|
| 12 |
still 1.2 million USD to go.'
|
| 13 |
- text: Lol prove it
|
| 14 |
metrics:
|
| 15 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
pipeline_tag: text-classification
|
| 17 |
library_name: setfit
|
| 18 |
inference: true
|
|
|
|
| 12 |
still 1.2 million USD to go.'
|
| 13 |
- text: Lol prove it
|
| 14 |
metrics:
|
| 15 |
+
- name: Macro F1
|
| 16 |
+
type: f1_macro
|
| 17 |
+
value: 0.8245
|
| 18 |
+
- name: Accuracy
|
| 19 |
+
type: accuracy
|
| 20 |
+
value: 0.8376
|
| 21 |
+
- name: F1 NOISE
|
| 22 |
+
type: f1_noise
|
| 23 |
+
value: 0.8725
|
| 24 |
+
- name: Precision NOISE
|
| 25 |
+
type: precision_noise
|
| 26 |
+
value: 0.9028
|
| 27 |
+
- name: Recall NOISE
|
| 28 |
+
type: recall_noise
|
| 29 |
+
value: 0.8442
|
| 30 |
+
- name: F1 CONTRIBUTING
|
| 31 |
+
type: f1_contributing
|
| 32 |
+
value: 0.7765
|
| 33 |
+
- name: Precision CONTRIBUTING
|
| 34 |
+
type: precision_contributing
|
| 35 |
+
value: 0.7333
|
| 36 |
+
- name: Recall CONTRIBUTING
|
| 37 |
+
type: recall_contributing
|
| 38 |
+
value: 0.825
|
| 39 |
pipeline_tag: text-classification
|
| 40 |
library_name: setfit
|
| 41 |
inference: true
|