Instructions to use SamagraDataGov/e2_test05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/e2_test05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamagraDataGov/e2_test05")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamagraDataGov/e2_test05") model = AutoModelForSequenceClassification.from_pretrained("SamagraDataGov/e2_test05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a4e885c853d48d371d9aced3f511874b706e797464a432eab69d54d3c789ccf
- Size of remote file:
- 438 MB
- SHA256:
- 27aed5c7e2ad19bab2eea3b70a8c06728e5e5328b51d07c0beded9fa2a512f7a
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