Text Classification
Transformers
PyTorch
TensorBoard
gptj
Generated from Trainer
Eval Results (legacy)
Instructions to use arincon/ia-detection-tiny-random-gptj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arincon/ia-detection-tiny-random-gptj with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arincon/ia-detection-tiny-random-gptj")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arincon/ia-detection-tiny-random-gptj") model = AutoModelForSequenceClassification.from_pretrained("arincon/ia-detection-tiny-random-gptj", 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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oid sha256:fe8d38e35358389d03cf910163416ae6b6d9357e4f84ffb994591565e99c426b
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size 1695596
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