Instructions to use OpenAssistant/reward-model-electra-large-discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenAssistant/reward-model-electra-large-discriminator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OpenAssistant/reward-model-electra-large-discriminator")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OpenAssistant/reward-model-electra-large-discriminator") model = AutoModelForSequenceClassification.from_pretrained("OpenAssistant/reward-model-electra-large-discriminator") - Notebooks
- Google Colab
- Kaggle
Update README.md
#2 opened almost 3 years ago
by
linoUCV
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot