Instructions to use pyofpython/citizen-grievance-classifier-muril with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyofpython/citizen-grievance-classifier-muril with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pyofpython/citizen-grievance-classifier-muril")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pyofpython/citizen-grievance-classifier-muril") model = AutoModelForSequenceClassification.from_pretrained("pyofpython/citizen-grievance-classifier-muril", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 527f049ece73df581657fd729aa167c8b5ebdcb820e6cccdc2069002601d4f0d
- Size of remote file:
- 950 MB
- SHA256:
- 8d0b1e9d14af41c7653265e82539251d1a0bb618738f6c74147cee55f57a5cfe
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