Token Classification
Transformers
PyTorch
English
gpt2
bias-detection
social-bias
gus-net
fairness
interpretability
text-generation-inference
Instructions to use pinthoz/gus-net-gpt2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinthoz/gus-net-gpt2-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pinthoz/gus-net-gpt2-medium")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pinthoz/gus-net-gpt2-medium") model = AutoModelForTokenClassification.from_pretrained("pinthoz/gus-net-gpt2-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
802066a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b01941a53cafd85a99c9bff0cc2f1402294ab1bb901a19add338b3519c2a547f
size 4625
|