Sentence Similarity
Transformers
Safetensors
English
Arabic
Urdu
mentee_embed
feature-extraction
embeddings
retrieval
contrastive-learning
multilingual
from-scratch
custom_code
Instructions to use MenteEAI/mentee-embed-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MenteEAI/mentee-embed-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MenteEAI/mentee-embed-v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download modules.json from MenteEAI/mentee-embed-v3: direct link, hf CLI and curl.
- Browser
- Download file 242 Bytes
-
https://huggingface.co/MenteEAI/mentee-embed-v3/resolve/main/modules.json
- Command line
-
hf download hf://MenteEAI/mentee-embed-v3/modules.json
-
curl -L -o modules.json https://huggingface.co/MenteEAI/mentee-embed-v3/resolve/main/modules.json
242 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.models.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.models.Pooling" | |
| } | |
| ] |