Instructions to use valurank/distilroberta-bias with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valurank/distilroberta-bias with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="valurank/distilroberta-bias")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valurank/distilroberta-bias") model = AutoModelForSequenceClassification.from_pretrained("valurank/distilroberta-bias") - Inference
- Notebooks
- Google Colab
- Kaggle
License
#3
by brianwarner2 - opened
Hi @abdulmatinomotoso , I see that the upstream license on DistilROBERTA is Apache 2.0, but this uses the Microsoft Reference Source License. Was this change intentional?