Instructions to use MLMvsCLM/610m-clm-42k-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLMvsCLM/610m-clm-42k-5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MLMvsCLM/610m-clm-42k-5000", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLMvsCLM/610m-clm-42k-5000", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add GitHub repository link to model card
#1
by nielsr HF Staff - opened
This PR improves the model card by explicitly linking to the GitHub repository within the content, making it easier for users to find the associated code and training library. The existing metadata (pipeline tag, library name, license) is already appropriate and remains unchanged.