Instructions to use allegro/herbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allegro/herbert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="allegro/herbert-base-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allegro/herbert-base-cased") model = AutoModel.from_pretrained("allegro/herbert-base-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from allegro/herbert-base-cased: direct link, hf CLI and curl.
- Browser
- Download file 129 Bytes
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https://huggingface.co/allegro/herbert-base-cased/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://allegro/herbert-base-cased/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/allegro/herbert-base-cased/resolve/main/special_tokens_map.json
129 Bytes
| {"bos_token": "<s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>"} |