Instructions to use priyabrat/AI.or.Human.text.classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use priyabrat/AI.or.Human.text.classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="priyabrat/AI.or.Human.text.classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("priyabrat/AI.or.Human.text.classification") model = AutoModelForSequenceClassification.from_pretrained("priyabrat/AI.or.Human.text.classification") - 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 sha256:14addbd16a0054efe071e2c1314584f78343feeeba86f3ec50b80fe7f59c177f
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size 437962836
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