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
Adding `safetensors` variant of this model
#10 opened 8 months ago
by
SFconvertbot
Update pipeline tag to feature-extraction
#8 opened 9 months ago
by
nielsr
Adding `safetensors` variant of this model
#7 opened 9 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened 9 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#3 opened 9 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened 9 months ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened 9 months ago
by
orionweller