Token Classification
Transformers
PyTorch
Safetensors
English
gpt2
bias-detection
social-bias
gus-net
fairness
interpretability
text-generation-inference
Instructions to use pinthoz/gus-net-gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinthoz/gus-net-gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pinthoz/gus-net-gpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pinthoz/gus-net-gpt2") model = AutoModelForTokenClassification.from_pretrained("pinthoz/gus-net-gpt2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened 1 day ago
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Adding `safetensors` variant of this model
#3 opened 4 days ago
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Adding `safetensors` variant of this model
#2 opened 5 months ago
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Adding `safetensors` variant of this model
#1 opened 5 months ago
by
SFconvertbot