Instructions to use Lurunchik/nf-cats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lurunchik/nf-cats with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lurunchik/nf-cats", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, RobertaNFQAClassification tokenizer = AutoTokenizer.from_pretrained("Lurunchik/nf-cats", trust_remote_code=True) model = RobertaNFQAClassification.from_pretrained("Lurunchik/nf-cats", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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- model.safetensors +3 -0
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