Instructions to use MLMvsCLM/1b-mlm50-42k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLMvsCLM/1b-mlm50-42k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MLMvsCLM/1b-mlm50-42k", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLMvsCLM/1b-mlm50-42k", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add link to code repository
#1
by nielsr HF Staff - opened
This PR adds a direct link to the GitHub repository (https://github.com/Nicolas-BZRD/EuroBERT) for the model's code, making it easier for users to find the source code and related implementations.