Token Classification
SpanMarker
Safetensors
Arabic
ner
named-entity-recognition
generated_from_span_marker_trainer
Instructions to use iahlt/xlm-roberta-base-ar-ner-flat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SpanMarker
How to use iahlt/xlm-roberta-base-ar-ner-flat with SpanMarker:
from span_marker import SpanMarkerModel model = SpanMarkerModel.from_pretrained("iahlt/xlm-roberta-base-ar-ner-flat") - Notebooks
- Google Colab
- Kaggle
Download config.json from iahlt/xlm-roberta-base-ar-ner-flat: direct link, hf CLI and curl.
- Browser
- Download file 6.01 kB
-
https://huggingface.co/iahlt/xlm-roberta-base-ar-ner-flat/resolve/main/config.json
- Command line
-
hf download hf://iahlt/xlm-roberta-base-ar-ner-flat/config.json
-
curl -L -o config.json https://huggingface.co/iahlt/xlm-roberta-base-ar-ner-flat/resolve/main/config.json
6.01 kB
| { | |
| "_name_or_path": "/content/xlm-roberta-base-ar-mafat-ner", | |
| "architectures": [ | |
| "SpanMarkerModel" | |
| ], | |
| "encoder": { | |
| "_name_or_path": "xlm-roberta-base", | |
| "add_cross_attention": false, | |
| "architectures": [ | |
| "XLMRobertaForMaskedLM" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bad_words_ids": null, | |
| "begin_suppress_tokens": null, | |
| "bos_token_id": 0, | |
| "chunk_size_feed_forward": 0, | |
| "classifier_dropout": null, | |
| "cross_attention_hidden_size": null, | |
| "decoder_start_token_id": null, | |
| "diversity_penalty": 0.0, | |
| "do_sample": false, | |
| "early_stopping": false, | |
| "encoder_no_repeat_ngram_size": 0, | |
| "eos_token_id": 2, | |
| "exponential_decay_length_penalty": null, | |
| "finetuning_task": null, | |
| "forced_bos_token_id": null, | |
| "forced_eos_token_id": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "U-ANG", | |
| "1": "L-ANG", | |
| "2": "B-ANG", | |
| "3": "I-ANG", | |
| "4": "U-DUC", | |
| "5": "I-DUC", | |
| "6": "L-DUC", | |
| "7": "B-DUC", | |
| "8": "I-EVE", | |
| "9": "L-EVE", | |
| "10": "B-EVE", | |
| "11": "U-EVE", | |
| "12": "L-FAC", | |
| "13": "U-FAC", | |
| "14": "I-FAC", | |
| "15": "B-FAC", | |
| "16": "L-GPE", | |
| "17": "B-GPE", | |
| "18": "I-GPE", | |
| "19": "U-GPE", | |
| "20": "U-INFORMAL", | |
| "21": "I-INFORMAL", | |
| "22": "L-INFORMAL", | |
| "23": "B-INFORMAL", | |
| "24": "U-LOC", | |
| "25": "I-LOC", | |
| "26": "L-LOC", | |
| "27": "B-LOC", | |
| "28": "I-MISC", | |
| "29": "U-MISC", | |
| "30": "B-MISC", | |
| "31": "L-MISC", | |
| "32": "O", | |
| "33": "I-ORG", | |
| "34": "L-ORG", | |
| "35": "U-ORG", | |
| "36": "B-ORG", | |
| "37": "L-PER", | |
| "38": "B-PER", | |
| "39": "I-PER", | |
| "40": "U-PER", | |
| "41": "I-TIMEX", | |
| "42": "L-TIMEX", | |
| "43": "U-TIMEX", | |
| "44": "B-TIMEX", | |
| "45": "U-TTL", | |
| "46": "L-TTL", | |
| "47": "B-TTL", | |
| "48": "I-TTL", | |
| "49": "B-WOA", | |
| "50": "L-WOA", | |
| "51": "U-WOA", | |
| "52": "I-WOA" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "is_decoder": false, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "B-ANG": 2, | |
| "B-DUC": 7, | |
| "B-EVE": 10, | |
| "B-FAC": 15, | |
| "B-GPE": 17, | |
| "B-INFORMAL": 23, | |
| "B-LOC": 27, | |
| "B-MISC": 30, | |
| "B-ORG": 36, | |
| "B-PER": 38, | |
| "B-TIMEX": 44, | |
| "B-TTL": 47, | |
| "B-WOA": 49, | |
| "I-ANG": 3, | |
| "I-DUC": 5, | |
| "I-EVE": 8, | |
| "I-FAC": 14, | |
| "I-GPE": 18, | |
| "I-INFORMAL": 21, | |
| "I-LOC": 25, | |
| "I-MISC": 28, | |
| "I-ORG": 33, | |
| "I-PER": 39, | |
| "I-TIMEX": 41, | |
| "I-TTL": 48, | |
| "I-WOA": 52, | |
| "L-ANG": 1, | |
| "L-DUC": 6, | |
| "L-EVE": 9, | |
| "L-FAC": 12, | |
| "L-GPE": 16, | |
| "L-INFORMAL": 22, | |
| "L-LOC": 26, | |
| "L-MISC": 31, | |
| "L-ORG": 34, | |
| "L-PER": 37, | |
| "L-TIMEX": 42, | |
| "L-TTL": 46, | |
| "L-WOA": 50, | |
| "O": 32, | |
| "U-ANG": 0, | |
| "U-DUC": 4, | |
| "U-EVE": 11, | |
| "U-FAC": 13, | |
| "U-GPE": 19, | |
| "U-INFORMAL": 20, | |
| "U-LOC": 24, | |
| "U-MISC": 29, | |
| "U-ORG": 35, | |
| "U-PER": 40, | |
| "U-TIMEX": 43, | |
| "U-TTL": 45, | |
| "U-WOA": 51 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "length_penalty": 1.0, | |
| "max_length": 20, | |
| "max_position_embeddings": 514, | |
| "min_length": 0, | |
| "model_type": "xlm-roberta", | |
| "no_repeat_ngram_size": 0, | |
| "num_attention_heads": 12, | |
| "num_beam_groups": 1, | |
| "num_beams": 1, | |
| "num_hidden_layers": 12, | |
| "num_return_sequences": 1, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "output_past": true, | |
| "output_scores": false, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "prefix": null, | |
| "problem_type": null, | |
| "pruned_heads": {}, | |
| "remove_invalid_values": false, | |
| "repetition_penalty": 1.0, | |
| "return_dict": true, | |
| "return_dict_in_generate": false, | |
| "sep_token_id": null, | |
| "suppress_tokens": null, | |
| "task_specific_params": null, | |
| "temperature": 1.0, | |
| "tf_legacy_loss": false, | |
| "tie_encoder_decoder": false, | |
| "tie_word_embeddings": true, | |
| "tokenizer_class": null, | |
| "top_k": 50, | |
| "top_p": 1.0, | |
| "torch_dtype": null, | |
| "torchscript": false, | |
| "transformers_version": "4.36.2", | |
| "type_vocab_size": 1, | |
| "typical_p": 1.0, | |
| "use_bfloat16": false, | |
| "use_cache": true, | |
| "vocab_size": 250008 | |
| }, | |
| "entity_max_length": 150, | |
| "id2label": { | |
| "0": "O", | |
| "1": "ANG", | |
| "2": "DUC", | |
| "3": "EVE", | |
| "4": "FAC", | |
| "5": "GPE", | |
| "6": "INFORMAL", | |
| "7": "LOC", | |
| "8": "MISC", | |
| "9": "ORG", | |
| "10": "PER", | |
| "11": "TIMEX", | |
| "12": "TTL", | |
| "13": "WOA" | |
| }, | |
| "id2reduced_id": { | |
| "0": 1, | |
| "1": 1, | |
| "2": 1, | |
| "3": 1, | |
| "4": 2, | |
| "5": 2, | |
| "6": 2, | |
| "7": 2, | |
| "8": 3, | |
| "9": 3, | |
| "10": 3, | |
| "11": 3, | |
| "12": 4, | |
| "13": 4, | |
| "14": 4, | |
| "15": 4, | |
| "16": 5, | |
| "17": 5, | |
| "18": 5, | |
| "19": 5, | |
| "20": 6, | |
| "21": 6, | |
| "22": 6, | |
| "23": 6, | |
| "24": 7, | |
| "25": 7, | |
| "26": 7, | |
| "27": 7, | |
| "28": 8, | |
| "29": 8, | |
| "30": 8, | |
| "31": 8, | |
| "32": 0, | |
| "33": 9, | |
| "34": 9, | |
| "35": 9, | |
| "36": 9, | |
| "37": 10, | |
| "38": 10, | |
| "39": 10, | |
| "40": 10, | |
| "41": 11, | |
| "42": 11, | |
| "43": 11, | |
| "44": 11, | |
| "45": 12, | |
| "46": 12, | |
| "47": 12, | |
| "48": 12, | |
| "49": 13, | |
| "50": 13, | |
| "51": 13, | |
| "52": 13 | |
| }, | |
| "label2id": { | |
| "ANG": 1, | |
| "DUC": 2, | |
| "EVE": 3, | |
| "FAC": 4, | |
| "GPE": 5, | |
| "INFORMAL": 6, | |
| "LOC": 7, | |
| "MISC": 8, | |
| "O": 0, | |
| "ORG": 9, | |
| "PER": 10, | |
| "TIMEX": 11, | |
| "TTL": 12, | |
| "WOA": 13 | |
| }, | |
| "marker_max_length": 128, | |
| "max_next_context": null, | |
| "max_prev_context": null, | |
| "model_max_length": null, | |
| "model_max_length_default": 512, | |
| "model_type": "span-marker", | |
| "span_marker_version": "1.5.0", | |
| "torch_dtype": "float32", | |
| "trained_with_document_context": false, | |
| "transformers_version": "4.35.2", | |
| "vocab_size": 250008 | |
| } | |