Instructions to use usmiva/bert-deepfake-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usmiva/bert-deepfake-bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="usmiva/bert-deepfake-bg")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("usmiva/bert-deepfake-bg") model = AutoModelForSequenceClassification.from_pretrained("usmiva/bert-deepfake-bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:eeb6c2c769b187534ecc1e2d426dcdf4ea6d6818745ba4fe81e1466c932b992f
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size 436362320
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