Instructions to use leocooo/v2-camembert-ner-job-ads with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leocooo/v2-camembert-ner-job-ads with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="leocooo/v2-camembert-ner-job-ads")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("leocooo/v2-camembert-ner-job-ads") model = AutoModelForTokenClassification.from_pretrained("leocooo/v2-camembert-ner-job-ads", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from leocooo/v2-camembert-ner-job-ads: direct link, hf CLI and curl.
- Browser
- Download file 402 Bytes
-
https://huggingface.co/leocooo/v2-camembert-ner-job-ads/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://leocooo/v2-camembert-ner-job-ads/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/leocooo/v2-camembert-ner-job-ads/resolve/main/tokenizer_config.json
402 Bytes
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "extra_special_tokens": [ | |
| "<s>NOTUSED", | |
| "</s>NOTUSED", | |
| "<unk>NOTUSED" | |
| ], | |
| "is_local": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "CamembertTokenizer", | |
| "unk_token": "<unk>" | |
| } | |