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?
#3
by Hanlard - opened
There is no "pytorch_model.bin", how to load the model?
You might need to update the transformers package because the model is saved into safetensors rather than bin. Recent transformers package should support loading safetensors via AutoModelForSequenceClassification.from_pretrained(name).