Instructions to use bltlab/queryner-augmented-data-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bltlab/queryner-augmented-data-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bltlab/queryner-augmented-data-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bltlab/queryner-augmented-data-bert-base-uncased") model = AutoModelForTokenClassification.from_pretrained("bltlab/queryner-augmented-data-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af238e42122fe9b00168dfd9557fbfe872891a23e0e5cf29ad6a773125455d67
- Size of remote file:
- 436 MB
- SHA256:
- 0018e990d6533095688b7b24543ac60e9a7956f69fe46b9b73a81e19640cb8b1
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