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
Is there a plan to open-source the training code?
#4
by FancyJay - opened
Thank you for your team's contributions! I would like to fine-tune your model for tasks I'm interested in. Do you have any plans to open-source the training code?
Hi Jay,
Unfortunately, we don’t have a plan for releasing training code, but you can get some good resources from this repo (https://github.com/ContextualAI/gritlm).
Best,
Seolhwa
Hi Jay,
Unfortunately, we don’t have a plan for releasing training code, but you can get some good resources from this repo (https://github.com/ContextualAI/gritlm).Best,
Seolhwa
Sure, thank you! I'll give it a try.