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_cross_attention": false, | |
| "architectures": [ | |
| "XLMRobertaForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-ACRONYM", | |
| "2": "I-ACRONYM", | |
| "3": "B-ANIMAL", | |
| "4": "I-ANIMAL", | |
| "5": "B-ARTIFACT", | |
| "6": "I-ARTIFACT", | |
| "7": "B-AWARD", | |
| "8": "I-AWARD", | |
| "9": "B-BUSINESS", | |
| "10": "I-BUSINESS", | |
| "11": "B-CONCEPT", | |
| "12": "I-CONCEPT", | |
| "13": "B-CREATION", | |
| "14": "I-CREATION", | |
| "15": "B-EVENT", | |
| "16": "I-EVENT", | |
| "17": "B-IDENTIFIER", | |
| "18": "I-IDENTIFIER", | |
| "19": "B-INSTALLATION", | |
| "20": "I-INSTALLATION", | |
| "21": "B-INSTITUTION", | |
| "22": "I-INSTITUTION", | |
| "23": "B-LEGAL", | |
| "24": "I-LEGAL", | |
| "25": "B-LOCATION", | |
| "26": "I-LOCATION", | |
| "27": "B-MEASURE", | |
| "28": "I-MEASURE", | |
| "29": "B-MEDIA", | |
| "30": "I-MEDIA", | |
| "31": "B-NATIONAL", | |
| "32": "I-NATIONAL", | |
| "33": "B-ORGANISATION", | |
| "34": "I-ORGANISATION", | |
| "35": "B-PERIOD", | |
| "36": "I-PERIOD", | |
| "37": "B-PERSON", | |
| "38": "I-PERSON", | |
| "39": "B-PERSON_TYPE", | |
| "40": "I-PERSON_TYPE", | |
| "41": "B-PLANT", | |
| "42": "I-PLANT", | |
| "43": "B-SUBSTANCE", | |
| "44": "I-SUBSTANCE", | |
| "45": "B-TITLE", | |
| "46": "I-TITLE", | |
| "47": "B-UNKNOWN", | |
| "48": "I-UNKNOWN", | |
| "49": "B-WEBSITE", | |
| "50": "I-WEBSITE" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "label2id": { | |
| "B-ACRONYM": 1, | |
| "B-ANIMAL": 3, | |
| "B-ARTIFACT": 5, | |
| "B-AWARD": 7, | |
| "B-BUSINESS": 9, | |
| "B-CONCEPT": 11, | |
| "B-CREATION": 13, | |
| "B-EVENT": 15, | |
| "B-IDENTIFIER": 17, | |
| "B-INSTALLATION": 19, | |
| "B-INSTITUTION": 21, | |
| "B-LEGAL": 23, | |
| "B-LOCATION": 25, | |
| "B-MEASURE": 27, | |
| "B-MEDIA": 29, | |
| "B-NATIONAL": 31, | |
| "B-ORGANISATION": 33, | |
| "B-PERIOD": 35, | |
| "B-PERSON": 37, | |
| "B-PERSON_TYPE": 39, | |
| "B-PLANT": 41, | |
| "B-SUBSTANCE": 43, | |
| "B-TITLE": 45, | |
| "B-UNKNOWN": 47, | |
| "B-WEBSITE": 49, | |
| "I-ACRONYM": 2, | |
| "I-ANIMAL": 4, | |
| "I-ARTIFACT": 6, | |
| "I-AWARD": 8, | |
| "I-BUSINESS": 10, | |
| "I-CONCEPT": 12, | |
| "I-CREATION": 14, | |
| "I-EVENT": 16, | |
| "I-IDENTIFIER": 18, | |
| "I-INSTALLATION": 20, | |
| "I-INSTITUTION": 22, | |
| "I-LEGAL": 24, | |
| "I-LOCATION": 26, | |
| "I-MEASURE": 28, | |
| "I-MEDIA": 30, | |
| "I-NATIONAL": 32, | |
| "I-ORGANISATION": 34, | |
| "I-PERIOD": 36, | |
| "I-PERSON": 38, | |
| "I-PERSON_TYPE": 40, | |
| "I-PLANT": 42, | |
| "I-SUBSTANCE": 44, | |
| "I-TITLE": 46, | |
| "I-UNKNOWN": 48, | |
| "I-WEBSITE": 50, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.2.0", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 250002 | |
| } | |