Text Classification
Transformers
Safetensors
English
Chinese
internlm2
feature-extraction
reward model
custom_code
Instructions to use internlm/internlm2-20b-reward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/internlm2-20b-reward with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="internlm/internlm2-20b-reward", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("internlm/internlm2-20b-reward", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- reward_bench_results
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