Instructions to use boronbrown48/1_model_topic_classification_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boronbrown48/1_model_topic_classification_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boronbrown48/1_model_topic_classification_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boronbrown48/1_model_topic_classification_v2") model = AutoModelForSequenceClassification.from_pretrained("boronbrown48/1_model_topic_classification_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c826e73
1
Parent(s): 8cdf0de
Create eval.txt
Browse files
eval.txt
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{'epoch': 3.54,
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'eval_accuracy': 0.9243642329778508,
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'eval_f1-macro': 0.7717268068768623,
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'eval_loss': 0.3193516135215759,
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'eval_precision': 0.7777396877295429,
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'eval_recall': 0.7715675339890613,
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'eval_runtime': 76.7377,
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'eval_samples_per_second': 79.426,
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'eval_steps_per_second': 9.93}
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