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
File size: 293 Bytes
726d37e be95e7b 726d37e 6f035c1 726d37e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"tokenizer_class": "MenteeTokenizer",
"auto_map": {
"AutoTokenizer": [
"tokenization_mentee.MenteeTokenizer",
null
]
},
"model_max_length": 512,
"padding_side": "right",
"truncation_side": "right",
"pad_token": "[PAD]",
"unk_token": "[UNK]"
} |