Instructions to use YuryCHep/FAKERBOOSTED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuryCHep/FAKERBOOSTED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YuryCHep/FAKERBOOSTED")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YuryCHep/FAKERBOOSTED") model = AutoModelForSequenceClassification.from_pretrained("YuryCHep/FAKERBOOSTED", 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 sha256:42b830f9a3999044e21a614eb42d4103845a064ba84f3c55a114c0beb84ce556
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size 116800616
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