Text Classification
Transformers
Safetensors
English
Chinese
internlm2
feature-extraction
reward model
custom_code
4-bit precision
bitsandbytes
Instructions to use SteveTran/internlm2-20b-4bit-RM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SteveTran/internlm2-20b-4bit-RM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SteveTran/internlm2-20b-4bit-RM", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SteveTran/internlm2-20b-4bit-RM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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