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
Added tokenizer files
Browse files- config.json +1 -0
- vocab.txt +0 -0
config.json
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{"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}
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vocab.txt
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