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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
MOD: add hf profile links to README.md
Browse files
README.md
CHANGED
|
@@ -101,9 +101,9 @@ Check out [unilm/e5](https://github.com/microsoft/unilm/tree/master/e5) to repro
|
|
| 101 |
|
| 102 |
Linq Research Team.
|
| 103 |
|
| 104 |
-
- Junseong Kim
|
| 105 |
- Seolhwa Lee
|
| 106 |
-
- Jihoon Kwon
|
| 107 |
- Sangmo Gu
|
| 108 |
- Yejin Kim
|
| 109 |
- Minkyung Cho
|
|
|
|
| 101 |
|
| 102 |
Linq Research Team.
|
| 103 |
|
| 104 |
+
- [Junseong Kim](https://huggingface.co/Junseong)
|
| 105 |
- Seolhwa Lee
|
| 106 |
+
- [Jihoon Kwon](https://huggingface.co/Mayfull)
|
| 107 |
- Sangmo Gu
|
| 108 |
- Yejin Kim
|
| 109 |
- Minkyung Cho
|