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")# 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 large files with Git LFS
Browse files- generation_config.json +5 -0
- pytorch_model.bin +3 -0
generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.33.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7bbfacf3712e94d8640d072a7328028f7369be050fbb561eb4a4486ff074da86
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size 267981173
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