Instructions to use pczarnik/herbert-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pczarnik/herbert-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pczarnik/herbert-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pczarnik/herbert-base-ner") model = AutoModelForTokenClassification.from_pretrained("pczarnik/herbert-base-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from pczarnik/herbert-base-ner: direct link, hf CLI and curl.
- Browser
- Download file 368 Bytes
-
https://huggingface.co/pczarnik/herbert-base-ner/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://pczarnik/herbert-base-ner/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/pczarnik/herbert-base-ner/resolve/main/tokenizer_config.json
368 Bytes
| { | |
| "additional_special_tokens": [], | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "do_lowercase_and_remove_accent": false, | |
| "id2lang": null, | |
| "lang2id": null, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "HerbertTokenizer", | |
| "unk_token": "<unk>" | |
| } | |