Instructions to use sshleifer/tiny-dbmdz-bert-large-cased-finetuned-conll03-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/tiny-dbmdz-bert-large-cased-finetuned-conll03-english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sshleifer/tiny-dbmdz-bert-large-cased-finetuned-conll03-english")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sshleifer/tiny-dbmdz-bert-large-cased-finetuned-conll03-english") model = AutoModelForTokenClassification.from_pretrained("sshleifer/tiny-dbmdz-bert-large-cased-finetuned-conll03-english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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