Instructions to use NbAiLab/roberta_jan_128_ncc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/roberta_jan_128_ncc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/roberta_jan_128_ncc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/roberta_jan_128_ncc") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/roberta_jan_128_ncc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download backup/tokenizer_config.json from NbAiLab/roberta_jan_128_ncc: direct link, hf CLI and curl.
- Browser
- Download file 335 Bytes
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https://huggingface.co/NbAiLab/roberta_jan_128_ncc/resolve/main/backup/tokenizer_config.json
- Command line
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hf download hf://NbAiLab/roberta_jan_128_ncc/backup/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/NbAiLab/roberta_jan_128_ncc/resolve/main/backup/tokenizer_config.json
335 Bytes
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "special_tokens_map_file": null, "name_or_path": "NbAiLab/nb-roberta-base", "tokenizer_class": "RobertaTokenizer"} |