Instructions to use SushantGautam/LogClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/LogClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/LogClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/LogClassification") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/LogClassification") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): f8cb16c
End of training
Browse files- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +0 -0
all_results.json
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"epoch": 3.0,
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"train_loss": 0.14667468480848764,
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"train_runtime": 2515.9928,
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"train_samples": 229932,
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"train_samples_per_second": 274.165,
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"train_steps_per_second": 4.284
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.14667468480848764,
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"train_runtime": 2515.9928,
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"train_samples": 229932,
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"train_samples_per_second": 274.165,
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"train_steps_per_second": 4.284
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trainer_state.json
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