Instructions to use PDG/gpt2_for_crime_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PDG/gpt2_for_crime_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PDG/gpt2_for_crime_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PDG/gpt2_for_crime_classification") model = AutoModelForSequenceClassification.from_pretrained("PDG/gpt2_for_crime_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:dbc17356763323b27ac4ef91a39d015647f96e629518185178a139505cc94590
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size 3133968442
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