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:
- f8f017710aa78c312f5d62453a9f91307b51d43e573bf21ac5af6a993838a2e3
- Size of remote file:
- 536 MB
- SHA256:
- dcb144c79089f1abb973bb315ee27ad3ac788994db78b327a3f1b7c89ab12554
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