Instructions to use jhu-clsp/mmBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhu-clsp/mmBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jhu-clsp/mmBERT-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jhu-clsp/mmBERT-small") model = AutoModelForMaskedLM.from_pretrained("jhu-clsp/mmBERT-small") - Inference
- Notebooks
- Google Colab
- Kaggle
Add languages tag
#9
by lbourdois - opened
Hi 🤗
To improve your model's ranking on the Hub, I have added language tags using those specified by Fineweb-2.
Thanks @lbourdois !🙏
orionweller changed pull request status to merged