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:
- feaefb2e5558fa4b96f4c0e085ff745e8a5f37a7b0f25cea31ac449688f5618f
- Size of remote file:
- 268 MB
- SHA256:
- 00d33f7cc9392668e7d1307e1c7472b3591f7578c49981f7888d4f1bad607cd1
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