Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers
Transformers.js
English
nomic_bert
feature-extraction
mteb
custom_code
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use nomic-ai/nomic-embed-text-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/nomic-embed-text-v1.5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/nomic-embed-text-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
How to use nomic-ai/nomic-embed-text-v1.5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True) model = AutoModel.from_pretrained("nomic-ai/nomic-embed-text-v1.5", trust_remote_code=True, device_map="auto") - Transformers.js
How to use nomic-ai/nomic-embed-text-v1.5 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'nomic-ai/nomic-embed-text-v1.5'); - Notebooks
- Google Colab
- Kaggle
Add evaluation results for model nomic-ai/nomic-embed-text-v1.5 revision b0753ae76394dd36bcfb912a46018088bca48be0
#55
by Samoed - opened
- .eval_results/ArguAna.yaml +20 -0
.eval_results/ArguAna.yaml
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- dataset:
|
| 2 |
+
id: mteb/arguana
|
| 3 |
+
task_id: ArguAna_default_test
|
| 4 |
+
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
|
| 5 |
+
value: 52.018
|
| 6 |
+
notes: Obtained using MTEB v1.18.0
|
| 7 |
+
source:
|
| 8 |
+
url: https://github.com/embeddings-benchmark/mteb/
|
| 9 |
+
name: Obtained using MTEB v1.18.0
|
| 10 |
+
user: mteb
|
| 11 |
+
- dataset:
|
| 12 |
+
id: mteb/arguana
|
| 13 |
+
task_id: ArguAna
|
| 14 |
+
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
|
| 15 |
+
value: 52.018
|
| 16 |
+
notes: Obtained using MTEB v1.18.0
|
| 17 |
+
source:
|
| 18 |
+
url: https://github.com/embeddings-benchmark/mteb/
|
| 19 |
+
name: Obtained using MTEB v1.18.0
|
| 20 |
+
user: mteb
|