Text Classification
ONNX
sentence-transformers
French
English
yes-no
intent-classification
distillation
edge
quantization
Eval Results (legacy)
Instructions to use jcfossati/ForSureLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jcfossati/ForSureLLM with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jcfossati/ForSureLLM") 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 forsurellm-int8.onnx
Browse filesUpdated Classifier with new data
- forsurellm-int8.onnx +1 -1
forsurellm-int8.onnx
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 118268722
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a90fe7d151fd6740a529b074eff36fa6f8a5224225712d4f1e95aceb34586a8
|
| 3 |
size 118268722
|