Feature Extraction
sentence-transformers
OpenVINO
Transformers
Chinese
bert
sentence-similarity
nncf
8-bit precision
text-embeddings-inference
Instructions to use turingevo/bge-base-zh-v1.5-openvino-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use turingevo/bge-base-zh-v1.5-openvino-8bit with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("turingevo/bge-base-zh-v1.5-openvino-8bit") 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] - Transformers
How to use turingevo/bge-base-zh-v1.5-openvino-8bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="turingevo/bge-base-zh-v1.5-openvino-8bit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("turingevo/bge-base-zh-v1.5-openvino-8bit") model = AutoModel.from_pretrained("turingevo/bge-base-zh-v1.5-openvino-8bit") - Notebooks
- Google Colab
- Kaggle
Upload openvino_model.bin with huggingface_hub
Browse files- openvino_model.bin +3 -0
openvino_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80eecb3f98a602b9b29b835ff94f50363d33edc7d0a82a05d75af33eb20a71c9
|
| 3 |
+
size 102359102
|