Instructions to use IDEA-CCNL/Ziya-LLaMA-7B-Reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Ziya-LLaMA-7B-Reward with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDEA-CCNL/Ziya-LLaMA-7B-Reward", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Ziya-LLaMA-7B-Reward", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("IDEA-CCNL/Ziya-LLaMA-7B-Reward", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#15 opened over 1 year ago
by
SFconvertbot
tokenizer 的 max-len 为什么不是llama的2048而是1024呢?
#13 opened about 3 years ago
by
shizhoudong