Instructions to use SamagraDataGov/disaster_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/disaster_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamagraDataGov/disaster_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamagraDataGov/disaster_classifier") model = AutoModelForSequenceClassification.from_pretrained("SamagraDataGov/disaster_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f875110e964737c7db2b09b077265691c4e0694b102dbe0844046892729c415e
- Size of remote file:
- 438 MB
- SHA256:
- eba97791290614220b2943395b00cb250ba1408411675fbe2520d8960728dc50
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