Instructions to use Ray2333/gpt2-large-harmless-reward_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ray2333/gpt2-large-harmless-reward_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ray2333/gpt2-large-harmless-reward_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ray2333/gpt2-large-harmless-reward_model") model = AutoModelForSequenceClassification.from_pretrained("Ray2333/gpt2-large-harmless-reward_model") - Notebooks
- Google Colab
- Kaggle
Load failed:There is no "pytorch_model.bin", how to load the model?
1
#3 opened almost 2 years ago
by
Hanlard
a bug when loading model
1
#2 opened almost 2 years ago
by
ssmmzz
How to train the model
1
#1 opened about 2 years ago
by
mike2000