Instructions to use spawn99/modernbert-wine-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spawn99/modernbert-wine-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spawn99/modernbert-wine-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spawn99/modernbert-wine-classification") model = AutoModelForSequenceClassification.from_pretrained("spawn99/modernbert-wine-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40bbb95470ddadc652827ed4cceb805e985ee05a2e444b8ec2275d370736753d
- Size of remote file:
- 5.37 kB
- SHA256:
- 50f4c4995be3dcebe3a797d6d717257bea2f0b9210646e7c3c522777cea56eb3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.