Text Classification
sentence-transformers
Safetensors
English
qwen2
pretrained
text-embeddings-inference
Instructions to use ssmits/Qwen2-7B-Instruct-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ssmits/Qwen2-7B-Instruct-embed-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ssmits/Qwen2-7B-Instruct-embed-base") 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
Delete consolidated.safetensors
#1
by ssmits - opened
- consolidated.safetensors +0 -3
consolidated.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:ac1828157354884f5aecde3df3f606440754a2104e67f8d3a2fc9fd3da802fd7
|
| 3 |
-
size 14141276872
|
|
|
|
|
|
|
|
|
|
|
|