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
a bug when loading model
#2
by ssmmzz - opened
RuntimeError: unable to open file </home/zhaoyang/.cache/huggingface/hub/models--Ray2333--gpt2-large-harmless-reward_model/snapshots/b8f2f921817e5975fcde75ae99b6c52646e577f0/model.safetensors> in read-only mode: No such file or directory
What happened?
I guess you didn't download it successfully. Try to delete the directory models--Ray2333--gpt2-large-harmless-reward_model and download again.