Text Classification
Transformers
PyTorch
English
Chinese
internlm2
feature-extraction
Reward
RL
RFT
Reward Model
custom_code
Instructions to use internlm/POLAR-1_8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/POLAR-1_8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="internlm/POLAR-1_8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("internlm/POLAR-1_8B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline_tag and library_name to model card
#1
by nielsr HF Staff - opened
This PR improves the model card by adding:
pipeline_tag: text-rankingto enhance discoverability on the Hugging Face Hub, allowing users to find the model at https://huggingface.co/models?pipeline_tag=text-ranking.library_name: transformersto correctly identify the primary library for model usage and enable the "how to use" widget.
RowitZou changed pull request status to merged