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
- Xet hash:
- 0507b7df0c87569282b9eb28f79f44cc14338f9f975e55cb0757f436e6e44e7a
- Size of remote file:
- 1.38 kB
- SHA256:
- aa9390c6f79d20cdf75f86e8bf6101c1d2f70a13a87c8c49dcb0de66bbc108c2
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