Instructions to use faridlazuarda/data_laundry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faridlazuarda/data_laundry with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="faridlazuarda/data_laundry")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("faridlazuarda/data_laundry") model = AutoModelForSequenceClassification.from_pretrained("faridlazuarda/data_laundry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e85d04983d25b1fbde131d6113bc87ade66a3aa0bce07ec02f41f98deb859b70
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size 17052904
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