Instructions to use DeclanBracken/BERT_uncased_for_binary_TO_recycling_classification_augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeclanBracken/BERT_uncased_for_binary_TO_recycling_classification_augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DeclanBracken/BERT_uncased_for_binary_TO_recycling_classification_augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DeclanBracken/BERT_uncased_for_binary_TO_recycling_classification_augmented") model = AutoModelForSequenceClassification.from_pretrained("DeclanBracken/BERT_uncased_for_binary_TO_recycling_classification_augmented") - Notebooks
- Google Colab
- Kaggle