Sentence Similarity
Transformers
Safetensors
Turkish
modernbert
feature-extraction
mmbert
encoder
turkish
text-embeddings-inference
Instructions to use TFLai/tifilBERT-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TFLai/tifilBERT-Base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("TFLai/tifilBERT-Base") model = AutoModel.from_pretrained("TFLai/tifilBERT-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from TFLai/tifilBERT-Base: direct link, hf CLI and curl.
- Browser
- Download file 282 Bytes
-
https://huggingface.co/TFLai/tifilBERT-Base/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://TFLai/tifilBERT-Base/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/TFLai/tifilBERT-Base/resolve/main/config_sentence_transformers.json
282 Bytes
| { | |
| "model_type": "SentenceTransformer", | |
| "__version__": { | |
| "sentence_transformers": "5.3.0", | |
| "transformers": "5.5.0", | |
| "pytorch": "2.8.0+cu129" | |
| }, | |
| "prompts": { | |
| "query": "", | |
| "document": "" | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": "cosine" | |
| } |