Instructions to use HueyNemud/berties with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HueyNemud/berties with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HueyNemud/berties")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HueyNemud/berties") model = AutoModelForTokenClassification.from_pretrained("HueyNemud/berties", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from HueyNemud/berties: direct link, hf CLI and curl.
- Browser
- Download file 683 Bytes
-
https://huggingface.co/HueyNemud/berties/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://HueyNemud/berties/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/HueyNemud/berties/resolve/main/tokenizer_config.json
683 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED"], "model_max_length": 512, "name_or_path": "HueyNemud/das22-10-camembert_pretrained", "special_tokens_map_file": "/lrde/home2/jchazalo/.cache/huggingface/transformers/fe0e213c44079a9ee091098f81fff2941484006e9ba3001a9bf1ee9f87537599.cb3ec3a6c1200d181228d8825ae9767572abca54efa1bbb37fd83d721b2ef323", "sp_model_kwargs": {}, "tokenizer_class": "CamembertTokenizer"} |