Sentence Similarity
sentence-transformers
Safetensors
Turkish
modernbert
feature-extraction
turkish
mteb
text-embeddings-inference
Instructions to use moganai/MoganBERT-Embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use moganai/MoganBERT-Embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("moganai/MoganBERT-Embed") 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] - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from moganai/MoganBERT-Embed: direct link, hf CLI and curl.
- Browser
- Download file 601 Bytes
-
https://huggingface.co/moganai/MoganBERT-Embed/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://moganai/MoganBERT-Embed/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/moganai/MoganBERT-Embed/resolve/main/tokenizer_config.json
601 Bytes
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "[CLS]", | |
| "eos_token": "[EOS]", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "max_length": 512, | |
| "model_max_length": 8192, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "[PAD]", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "[SEP]", | |
| "stride": 0, | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "[UNK]", | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ] | |
| } | |