Instructions to use MLMvsCLM/610m-clm-40k-mlm50-42k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLMvsCLM/610m-clm-40k-mlm50-42k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MLMvsCLM/610m-clm-40k-mlm50-42k", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLMvsCLM/610m-clm-40k-mlm50-42k", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add GitHub repository link and improve formatting
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding an explicit link to the associated GitHub repository for better code discoverability.
- Improving the readability of the "Model Naming" section through consistent indentation for multi-line bullet points.