Instructions to use MLMvsCLM/610m-clm-12k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLMvsCLM/610m-clm-12k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MLMvsCLM/610m-clm-12k", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLMvsCLM/610m-clm-12k", trust_remote_code=True, dtype="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 adding an explicit link to the GitHub repository where the code for this model and its associated training library can be found. This makes it easier for users to find the source code and related project artifacts.