Instructions to use Chow05/ATE-distilbert-base-uncased-For-SemEval-2014-Task-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chow05/ATE-distilbert-base-uncased-For-SemEval-2014-Task-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Chow05/ATE-distilbert-base-uncased-For-SemEval-2014-Task-4")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Chow05/ATE-distilbert-base-uncased-For-SemEval-2014-Task-4") model = AutoModelForTokenClassification.from_pretrained("Chow05/ATE-distilbert-base-uncased-For-SemEval-2014-Task-4") - Notebooks
- Google Colab
- Kaggle
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