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:
# 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
| { | |
| "activation": "gelu", | |
| "architectures": [ | |
| "MenteeEmbedModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_mentee.MenteeEmbedConfig", | |
| "AutoModel": "modeling_mentee.MenteeEmbedModel" | |
| }, | |
| "dropout": 0.1, | |
| "ffn": 1536, | |
| "heads": 12, | |
| "hidden": 384, | |
| "hidden_size": 384, | |
| "layers": 12, | |
| "max_position": 512, | |
| "max_position_embeddings": 512, | |
| "model_type": "mentee_embed", | |
| "pooling": "mean", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.3", | |
| "vocab_size": 50000 | |
| } | |