Sentence Similarity
Transformers
ONNX
Safetensors
sentence-transformers
Transformers.js
English
new
feature-extraction
gte
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use Alibaba-NLP/gte-base-en-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/gte-base-en-v1.5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Alibaba-NLP/gte-base-en-v1.5", trust_remote_code=True, dtype="auto") - sentence-transformers
How to use Alibaba-NLP/gte-base-en-v1.5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Alibaba-NLP/gte-base-en-v1.5", trust_remote_code=True) sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers.js
How to use Alibaba-NLP/gte-base-en-v1.5 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'Alibaba-NLP/gte-base-en-v1.5'); - Notebooks
- Google Colab
- Kaggle
Update usage example with infinity (#13)
Browse files- Update usage example with infinity (3d61b474c3e21454d937ce470ef7f402dbff9559)
Co-authored-by: Michael <michaelfeil@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -2713,6 +2713,14 @@ const similarities = document_embeddings.map(x => 100 * dot(source_embeddings, x
|
|
| 2713 |
console.log(similarities); // [34.504930869007296, 64.03973265120138, 19.520042686034362]
|
| 2714 |
```
|
| 2715 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2716 |
## Training Details
|
| 2717 |
|
| 2718 |
### Training Data
|
|
|
|
| 2713 |
console.log(similarities); // [34.504930869007296, 64.03973265120138, 19.520042686034362]
|
| 2714 |
```
|
| 2715 |
|
| 2716 |
+
Use with infinity:
|
| 2717 |
+
[Infinity](https://github.com/michaelfeil/infinity) is a MIT licensed server for OpenAI-compatible deployment.
|
| 2718 |
+
```
|
| 2719 |
+
docker run --gpus all -v $PWD/data:/app/.cache -p "7997":"7997" \
|
| 2720 |
+
michaelf34/infinity:0.0.68 \
|
| 2721 |
+
v2 --model-id Alibaba-NLP/gte-base-en-v1.5 --revision "4c742dc2b781e4ab062a4a77f4f7cbad4bdee970" --dtype bfloat16 --batch-size 32 --device cuda --engine torch --port 7997
|
| 2722 |
+
```
|
| 2723 |
+
|
| 2724 |
## Training Details
|
| 2725 |
|
| 2726 |
### Training Data
|