Feature Extraction
sentence-transformers
Safetensors
Transformers
English
mistral
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use Linq-AI-Research/Linq-Embed-Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Linq-AI-Research/Linq-Embed-Mistral with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Linq-AI-Research/Linq-Embed-Mistral") 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 Linq-AI-Research/Linq-Embed-Mistral with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Linq-AI-Research/Linq-Embed-Mistral")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Linq-AI-Research/Linq-Embed-Mistral") model = AutoModel.from_pretrained("Linq-AI-Research/Linq-Embed-Mistral") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1875,8 +1875,8 @@ Check out [unilm/e5](https://github.com/microsoft/unilm/tree/master/e5) to repro
|
|
| 1875 |
- [Sangmo Gu](https://huggingface.co/karma-os)
|
| 1876 |
- Yejin Kim
|
| 1877 |
- Minkyung Cho
|
| 1878 |
-
- Jy-yong Sohn
|
| 1879 |
-
- Chanyeol Choi
|
| 1880 |
|
| 1881 |
# Citation
|
| 1882 |
|
|
|
|
| 1875 |
- [Sangmo Gu](https://huggingface.co/karma-os)
|
| 1876 |
- Yejin Kim
|
| 1877 |
- Minkyung Cho
|
| 1878 |
+
- [Jy-yong Sohn](https://itml.yonsei.ac.kr/professor)
|
| 1879 |
+
- [Chanyeol Choi](https://www.linkedin.com/in/chanyeolchoi)
|
| 1880 |
|
| 1881 |
# Citation
|
| 1882 |
|