Instructions to use SamagraDataGov/e2e_testtt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/e2e_testtt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamagraDataGov/e2e_testtt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamagraDataGov/e2e_testtt") model = AutoModelForSequenceClassification.from_pretrained("SamagraDataGov/e2e_testtt") - Notebooks
- Google Colab
- Kaggle
Upload metrics.json with huggingface_hub
Browse files- metrics.json +1 -1
metrics.json
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{"eval_loss": 0.
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{"eval_loss": 0.5959049463272095, "eval_f1": 0.8210526315789474, "eval_runtime": 0.4617, "eval_samples_per_second": 36.822, "eval_steps_per_second": 36.822, "epoch": 4.0}
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