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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add the transformers tag
#5
by tomaarsen HF Staff - opened
Hello!
This is a mirror of https://huggingface.co/jhu-clsp/mmBERT-base/discussions/6, which adds the transformers tag for the base model. This is required for us to deploy this model in Inference Endpoints conveniently.
cc @orionweller
- Tom Aarsen
orionweller changed pull request status to merged