Instructions to use petros/bert-base-cypriot-uncased-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petros/bert-base-cypriot-uncased-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="petros/bert-base-cypriot-uncased-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("petros/bert-base-cypriot-uncased-v1") model = AutoModelForMaskedLM.from_pretrained("petros/bert-base-cypriot-uncased-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from petros/bert-base-cypriot-uncased-v1: direct link, hf CLI and curl.
- Browser
- Download file 230 Bytes
-
https://huggingface.co/petros/bert-base-cypriot-uncased-v1/resolve/bd659e7e2c0815291446d45ff8cdace3e7608eed/tokenizer_config.json
- Command line
-
hf download hf://petros/bert-base-cypriot-uncased-v1@bd659e7e2c0815291446d45ff8cdace3e7608eed/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/petros/bert-base-cypriot-uncased-v1/resolve/bd659e7e2c0815291446d45ff8cdace3e7608eed/tokenizer_config.json
230 Bytes
| {"handle_chinese_chars": false, "do_lower_case": true, "strip_accents": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "model_max_length": 512, "max_len": 512} |