Instructions to use bltlab/queryner-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bltlab/queryner-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bltlab/queryner-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bltlab/queryner-bert-base-uncased") model = AutoModelForTokenClassification.from_pretrained("bltlab/queryner-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c81c8616e5908a217f8aad18a79511ae19625299747c791deae26bcbf9bf3e7
- Size of remote file:
- 436 MB
- SHA256:
- 2ccf47b4746f6751035511fcb7eb98c419a38477485bc1b9cda02c5062f3d62f
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