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 tokenizer.json from TFLai/tifilBERT-Base: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/TFLai/tifilBERT-Base/resolve/main/tokenizer.json
- Command line
-
hf download hf://TFLai/tifilBERT-Base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TFLai/tifilBERT-Base/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 638393248d9df9c7f346cabb4a16636549a1077003c5ee1976492820cda9777b
- Size of remote file:
- 34.4 MB
- SHA256:
- f231fae363627485dbad73e8b95f601378deede800416098c14c81a0deafa813
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