Instructions to use RajuEEE/RewardModelSmallerQuestionWithTwoLabels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RajuEEE/RewardModelSmallerQuestionWithTwoLabels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RajuEEE/RewardModelSmallerQuestionWithTwoLabels")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RajuEEE/RewardModelSmallerQuestionWithTwoLabels") model = AutoModelForSequenceClassification.from_pretrained("RajuEEE/RewardModelSmallerQuestionWithTwoLabels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix broken dataset reference and remove auto-generated placeholder comment
#2
by BananaMindBot - opened
The model card states the model was fine-tuned on the 'None' dataset, which is a bug in the auto-generation process. I have corrected this to 'an unspecified dataset' to be accurate without inventing details. I also removed the HTML comment advising to proofread the card, as this PR addresses that need.
Opened automatically by BananaMindBot. Close it if it is not useful - no hard feelings.