Token Classification
Transformers
ONNX
Safetensors
encoderfile
Turkish
modernbert
massive
slot-filling
slu
Instructions to use ytu-ce-cosmos/modernbert-tr-massive-slot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytu-ce-cosmos/modernbert-tr-massive-slot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ytu-ce-cosmos/modernbert-tr-massive-slot")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/modernbert-tr-massive-slot") model = AutoModelForTokenClassification.from_pretrained("ytu-ce-cosmos/modernbert-tr-massive-slot", device_map="auto") - encoderfile
How to use ytu-ce-cosmos/modernbert-tr-massive-slot with encoderfile:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ModernBertForTokenClassification" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": null, | |
| "classifier_activation": "silu", | |
| "classifier_bias": false, | |
| "classifier_dropout": 0.0, | |
| "classifier_pooling": "mean", | |
| "cls_token_id": 2, | |
| "decoder_bias": true, | |
| "deterministic_flash_attn": false, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "eos_token_id": 50000, | |
| "global_attn_every_n_layers": 3, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "O", | |
| "1": "B-alarm_type", | |
| "2": "I-alarm_type", | |
| "3": "B-app_name", | |
| "4": "I-app_name", | |
| "5": "B-artist_name", | |
| "6": "I-artist_name", | |
| "7": "B-audiobook_author", | |
| "8": "I-audiobook_author", | |
| "9": "B-audiobook_name", | |
| "10": "I-audiobook_name", | |
| "11": "B-business_name", | |
| "12": "I-business_name", | |
| "13": "B-business_type", | |
| "14": "I-business_type", | |
| "15": "B-change_amount", | |
| "16": "I-change_amount", | |
| "17": "B-coffee_type", | |
| "18": "I-coffee_type", | |
| "19": "B-color_type", | |
| "20": "I-color_type", | |
| "21": "B-cooking_type", | |
| "22": "I-cooking_type", | |
| "23": "B-currency_name", | |
| "24": "I-currency_name", | |
| "25": "B-date", | |
| "26": "I-date", | |
| "27": "B-definition_word", | |
| "28": "I-definition_word", | |
| "29": "B-device_type", | |
| "30": "I-device_type", | |
| "31": "B-drink_type", | |
| "32": "I-drink_type", | |
| "33": "B-email_address", | |
| "34": "I-email_address", | |
| "35": "B-email_folder", | |
| "36": "I-email_folder", | |
| "37": "B-event_name", | |
| "38": "I-event_name", | |
| "39": "B-food_type", | |
| "40": "I-food_type", | |
| "41": "B-game_name", | |
| "42": "I-game_name", | |
| "43": "B-game_type", | |
| "44": "I-game_type", | |
| "45": "B-general_frequency", | |
| "46": "I-general_frequency", | |
| "47": "B-house_place", | |
| "48": "I-house_place", | |
| "49": "B-ingredient", | |
| "50": "I-ingredient", | |
| "51": "B-joke_type", | |
| "52": "I-joke_type", | |
| "53": "B-list_name", | |
| "54": "I-list_name", | |
| "55": "B-meal_type", | |
| "56": "I-meal_type", | |
| "57": "B-media_type", | |
| "58": "I-media_type", | |
| "59": "B-movie_name", | |
| "60": "I-movie_name", | |
| "61": "B-movie_type", | |
| "62": "I-movie_type", | |
| "63": "B-music_album", | |
| "64": "I-music_album", | |
| "65": "B-music_descriptor", | |
| "66": "I-music_descriptor", | |
| "67": "B-music_genre", | |
| "68": "I-music_genre", | |
| "69": "B-news_topic", | |
| "70": "I-news_topic", | |
| "71": "B-order_type", | |
| "72": "I-order_type", | |
| "73": "B-person", | |
| "74": "I-person", | |
| "75": "B-personal_info", | |
| "76": "I-personal_info", | |
| "77": "B-place_name", | |
| "78": "I-place_name", | |
| "79": "B-player_setting", | |
| "80": "I-player_setting", | |
| "81": "B-playlist_name", | |
| "82": "I-playlist_name", | |
| "83": "B-podcast_descriptor", | |
| "84": "I-podcast_descriptor", | |
| "85": "B-podcast_name", | |
| "86": "I-podcast_name", | |
| "87": "B-radio_name", | |
| "88": "I-radio_name", | |
| "89": "B-relation", | |
| "90": "I-relation", | |
| "91": "B-song_name", | |
| "92": "I-song_name", | |
| "93": "B-sport_type", | |
| "94": "I-sport_type", | |
| "95": "B-time", | |
| "96": "I-time", | |
| "97": "B-time_zone", | |
| "98": "I-time_zone", | |
| "99": "B-timeofday", | |
| "100": "I-timeofday", | |
| "101": "B-transport_agency", | |
| "102": "I-transport_agency", | |
| "103": "B-transport_descriptor", | |
| "104": "I-transport_descriptor", | |
| "105": "B-transport_name", | |
| "106": "I-transport_name", | |
| "107": "B-transport_type", | |
| "108": "I-transport_type", | |
| "109": "B-weather_descriptor", | |
| "110": "I-weather_descriptor" | |
| }, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "label2id": { | |
| "B-alarm_type": 1, | |
| "B-app_name": 3, | |
| "B-artist_name": 5, | |
| "B-audiobook_author": 7, | |
| "B-audiobook_name": 9, | |
| "B-business_name": 11, | |
| "B-business_type": 13, | |
| "B-change_amount": 15, | |
| "B-coffee_type": 17, | |
| "B-color_type": 19, | |
| "B-cooking_type": 21, | |
| "B-currency_name": 23, | |
| "B-date": 25, | |
| "B-definition_word": 27, | |
| "B-device_type": 29, | |
| "B-drink_type": 31, | |
| "B-email_address": 33, | |
| "B-email_folder": 35, | |
| "B-event_name": 37, | |
| "B-food_type": 39, | |
| "B-game_name": 41, | |
| "B-game_type": 43, | |
| "B-general_frequency": 45, | |
| "B-house_place": 47, | |
| "B-ingredient": 49, | |
| "B-joke_type": 51, | |
| "B-list_name": 53, | |
| "B-meal_type": 55, | |
| "B-media_type": 57, | |
| "B-movie_name": 59, | |
| "B-movie_type": 61, | |
| "B-music_album": 63, | |
| "B-music_descriptor": 65, | |
| "B-music_genre": 67, | |
| "B-news_topic": 69, | |
| "B-order_type": 71, | |
| "B-person": 73, | |
| "B-personal_info": 75, | |
| "B-place_name": 77, | |
| "B-player_setting": 79, | |
| "B-playlist_name": 81, | |
| "B-podcast_descriptor": 83, | |
| "B-podcast_name": 85, | |
| "B-radio_name": 87, | |
| "B-relation": 89, | |
| "B-song_name": 91, | |
| "B-sport_type": 93, | |
| "B-time": 95, | |
| "B-time_zone": 97, | |
| "B-timeofday": 99, | |
| "B-transport_agency": 101, | |
| "B-transport_descriptor": 103, | |
| "B-transport_name": 105, | |
| "B-transport_type": 107, | |
| "B-weather_descriptor": 109, | |
| "I-alarm_type": 2, | |
| "I-app_name": 4, | |
| "I-artist_name": 6, | |
| "I-audiobook_author": 8, | |
| "I-audiobook_name": 10, | |
| "I-business_name": 12, | |
| "I-business_type": 14, | |
| "I-change_amount": 16, | |
| "I-coffee_type": 18, | |
| "I-color_type": 20, | |
| "I-cooking_type": 22, | |
| "I-currency_name": 24, | |
| "I-date": 26, | |
| "I-definition_word": 28, | |
| "I-device_type": 30, | |
| "I-drink_type": 32, | |
| "I-email_address": 34, | |
| "I-email_folder": 36, | |
| "I-event_name": 38, | |
| "I-food_type": 40, | |
| "I-game_name": 42, | |
| "I-game_type": 44, | |
| "I-general_frequency": 46, | |
| "I-house_place": 48, | |
| "I-ingredient": 50, | |
| "I-joke_type": 52, | |
| "I-list_name": 54, | |
| "I-meal_type": 56, | |
| "I-media_type": 58, | |
| "I-movie_name": 60, | |
| "I-movie_type": 62, | |
| "I-music_album": 64, | |
| "I-music_descriptor": 66, | |
| "I-music_genre": 68, | |
| "I-news_topic": 70, | |
| "I-order_type": 72, | |
| "I-person": 74, | |
| "I-personal_info": 76, | |
| "I-place_name": 78, | |
| "I-player_setting": 80, | |
| "I-playlist_name": 82, | |
| "I-podcast_descriptor": 84, | |
| "I-podcast_name": 86, | |
| "I-radio_name": 88, | |
| "I-relation": 90, | |
| "I-song_name": 92, | |
| "I-sport_type": 94, | |
| "I-time": 96, | |
| "I-time_zone": 98, | |
| "I-timeofday": 100, | |
| "I-transport_agency": 102, | |
| "I-transport_descriptor": 104, | |
| "I-transport_name": 106, | |
| "I-transport_type": 108, | |
| "I-weather_descriptor": 110, | |
| "O": 0 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "layer_types": [ | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "local_attention": 128, | |
| "max_position_embeddings": 8192, | |
| "mlp_bias": false, | |
| "mlp_dropout": 0.0, | |
| "model_type": "modernbert", | |
| "norm_bias": false, | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000.0, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sep_token_id": 3, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.10.2", | |
| "vocab_size": 50008 | |
| } | |