Instructions to use fav-kky/FERNET-CC_sk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fav-kky/FERNET-CC_sk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="fav-kky/FERNET-CC_sk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("fav-kky/FERNET-CC_sk") model = AutoModelForMaskedLM.from_pretrained("fav-kky/FERNET-CC_sk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from fav-kky/FERNET-CC_sk: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/fav-kky/FERNET-CC_sk/resolve/main/special_tokens_map.json
- Command line
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hf download hf://fav-kky/FERNET-CC_sk/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/fav-kky/FERNET-CC_sk/resolve/main/special_tokens_map.json
112 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |