Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use King-8/help-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use King-8/help-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="King-8/help-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("King-8/help-classifier") model = AutoModelForSequenceClassification.from_pretrained("King-8/help-classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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It achieves the following results on the evaluation set:
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- Loss: 1.3083
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## 🤖 CIC Help Classifier Model
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### Overview
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It achieves the following results on the evaluation set:
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- Loss: 1.3083
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## 🤖 CIC Help Classifier Model
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### Overview
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