Instructions to use faridlazuarda/data_laundry_overfit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faridlazuarda/data_laundry_overfit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="faridlazuarda/data_laundry_overfit")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("faridlazuarda/data_laundry_overfit") model = AutoModelForSequenceClassification.from_pretrained("faridlazuarda/data_laundry_overfit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot