Instructions to use emmatliu/language-agency-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emmatliu/language-agency-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emmatliu/language-agency-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emmatliu/language-agency-classifier") model = AutoModelForSequenceClassification.from_pretrained("emmatliu/language-agency-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37e7b409060764eaa40400c37433fba956a6cba725126692feaf0f999b8e276f
- Size of remote file:
- 438 MB
- SHA256:
- 683e4396ec70a15c90f642152d9b9ad3b8ea31de7f0dd54fb72e25b683be2ccf
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