Token Classification
Transformers
Safetensors
Kyrgyz
xlm-roberta
kyrgyz
baseline
xlm-r-base
kyrgyz-ner
Instructions to use metinovadilet/kyrgyz-ner-xlmr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use metinovadilet/kyrgyz-ner-xlmr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="metinovadilet/kyrgyz-ner-xlmr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("metinovadilet/kyrgyz-ner-xlmr") model = AutoModelForTokenClassification.from_pretrained("metinovadilet/kyrgyz-ner-xlmr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |