Instructions to use tweettemposhift/ner-ner_random2_seed2-bernice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/ner-ner_random2_seed2-bernice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tweettemposhift/ner-ner_random2_seed2-bernice")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/ner-ner_random2_seed2-bernice") model = AutoModelForTokenClassification.from_pretrained("tweettemposhift/ner-ner_random2_seed2-bernice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df0df65742df4dd488d4e9e8828d6536a6513cbde7db6e550148a7144ed2960a
- Size of remote file:
- 16.7 MB
- SHA256:
- 3558e2b1883cd5a5f2de8d57f8c939530ea8b2f9d716fe48c7564a33f21d7943
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