Instructions to use 51la5/bert-large-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 51la5/bert-large-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="51la5/bert-large-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("51la5/bert-large-NER") model = AutoModelForTokenClassification.from_pretrained("51la5/bert-large-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Add evaluation results on the conll2003 config and train split of conll2003
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\ Your model has been evaluated on the conll2003 config and train split of the [conll2003](https://huggingface.co/datasets/conll2003) dataset by @theoraclephd, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-conll2003-conll2003-e68bb2-67908145608).\ Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=conll2003).\ Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=conll2003).6fd5f23
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