Instructions to use SamagraDataGov/e2e_deployment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/e2e_deployment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamagraDataGov/e2e_deployment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamagraDataGov/e2e_deployment") model = AutoModelForSequenceClassification.from_pretrained("SamagraDataGov/e2e_deployment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93b43c6222156802690a65ce6ebc8926bedf9ea908ed1ebf0cff0bd49709e728
- Size of remote file:
- 438 MB
- SHA256:
- e54909b9aa4ef2449fda5f23607759c1cf081601b6f9a360da71f0474d8415bb
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