Instructions to use tweettemposhift/ner-ner_random2_seed0-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/ner-ner_random2_seed0-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tweettemposhift/ner-ner_random2_seed0-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/ner-ner_random2_seed0-bernice") model = AutoModelForTokenClassification.from_pretrained("tweettemposhift/ner-ner_random2_seed0-bernice") - Notebooks
- Google Colab
- Kaggle
commit files to HF hub
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summary.json
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{"test/eval_loss": 0.40223029255867004, "test/eval_corporation": {"precision": 0.
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{"test/eval_loss": 0.40223029255867004, "test/eval_corporation": {"precision": 0.4553191489361702, "recall": 0.4053030303030303, "f1": 0.42885771543086165, "number": 528}, "test/eval_creative_work": {"precision": 0.44352617079889806, "recall": 0.42819148936170215, "f1": 0.43572395128552094, "number": 376}, "test/eval_event": {"precision": 0.5202205882352942, "recall": 0.5202205882352942, "f1": 0.5202205882352942, "number": 544}, "test/eval_group": {"precision": 0.5290423861852434, "recall": 0.5022354694485842, "f1": 0.5152905198776759, "number": 671}, "test/eval_location": {"precision": 0.6483516483516484, "recall": 0.6531365313653137, "f1": 0.650735294117647, "number": 271}, "test/eval_person": {"precision": 0.6582109479305741, "recall": 0.736370425690814, "f1": 0.6951004582305251, "number": 1339}, "test/eval_product": {"precision": 0.5584415584415584, "recall": 0.5327433628318584, "f1": 0.5452898550724637, "number": 565}, "test/eval_overall_precision": 0.568686401480111, "test/eval_overall_recall": 0.5726595249184909, "test/eval_overall_f1": 0.5706660478069157, "test/eval_overall_accuracy": 0.8890288408745922, "test/eval_runtime": 5.2157, "test/eval_samples_per_second": 134.401, "test/eval_steps_per_second": 16.872}
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