Instructions to use dell-research-harvard/wire-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dell-research-harvard/wire-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dell-research-harvard/wire-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dell-research-harvard/wire-classifier") model = AutoModelForSequenceClassification.from_pretrained("dell-research-harvard/wire-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be609fbf81583ef30b357bc9a777b64c2fb63ff096f1c2c2b7af5da57de77422
- Size of remote file:
- 4.03 kB
- SHA256:
- 7658120cc6dec537d9809085edeb6bdc99a9291e4e186825d178678bc2e8d781
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