Text Classification
Transformers
Safetensors
distilbert
cheese
texture
fine-tuned
Eval Results (legacy)
Instructions to use rlogh/cheese-texture-classifier-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rlogh/cheese-texture-classifier-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rlogh/cheese-texture-classifier-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rlogh/cheese-texture-classifier-distilbert") model = AutoModelForSequenceClassification.from_pretrained("rlogh/cheese-texture-classifier-distilbert") - Notebooks
- Google Colab
- Kaggle
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- **Base Model**: DistilBERT (distilbert-base-uncased)
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- **Training Framework**: Hugging Face Transformers
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- **Fine-tuning**: Standard BERT fine-tuning techniques
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The AI acted as a collaborative partner throughout the development process, accelerating the coding workflow and providing helpful guidance.
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## Citation
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- **Base Model**: DistilBERT (distilbert-base-uncased)
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- **Training Framework**: Hugging Face Transformers
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- **Fine-tuning**: Standard BERT fine-tuning techniques
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- The AI acted as a collaborative partner throughout the development process, accelerating the coding workflow and providing helpful guidance.
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## Citation
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