Instructions to use creat89/NER_FEDA_Bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creat89/NER_FEDA_Bg with Transformers:
# Load model directly from transformers import AutoTokenizer, BERT_model_multidata tokenizer = AutoTokenizer.from_pretrained("creat89/NER_FEDA_Bg") model = BERT_model_multidata.from_pretrained("creat89/NER_FEDA_Bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 727 Bytes
5ef4957 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | seed: 12 file_extension: txt experiment_name: 2021bg_da-IOBES-S____ECn_ tags2use: NER_IOBES special_labesl: True force_size: False train_file: train_* masking_percentage: 0.0 seed: 12 epochs: 20 early_stop: 2 separator: test_file: test dev_file: dev_* crf: True uppercase: True lr: 2e-05 epsilon: 1e-08 bert_model: /home/lcabrera/BERT_Models/LaBSE mask_entities: False train_batch_size: 16 comment_line: -DOCSTART sequence_size: 128 multi_gpu: False fullwords_mask: None redundant_uppercase: None bert_hidden_size: 768 no_dev: False multidata_model: Daume training_datasets: ['train_0_wikiann_bg', 'train_1_final_bg', 'train_2_wikiannMK', 'train_3_turku'] predict_boundaries: False biaffine: False uppercase_percentahe: 0.05 |