Token Classification
Transformers
Safetensors
English
distilbert
low-resource NER
token_classification
biomedicine
medical NER
Generated from Trainer
Instructions to use Dagobert42/distilbert-base-uncased-biored-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dagobert42/distilbert-base-uncased-biored-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Dagobert42/distilbert-base-uncased-biored-augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Dagobert42/distilbert-base-uncased-biored-augmented") model = AutoModelForTokenClassification.from_pretrained("Dagobert42/distilbert-base-uncased-biored-augmented") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Push ../models/distilbert-base-uncased/biored-augmentations-only/ trained on biored-train_200_splits.pt (200 samples)
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