Instructions to use witiko/mathberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use witiko/mathberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="witiko/mathberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("witiko/mathberta") model = AutoModelForMaskedLM.from_pretrained("witiko/mathberta") - Inference
- Notebooks
- Google Colab
- Kaggle
Prediction size vs tokenizer size
2
#3 opened almost 3 years ago
by
surya-narayanan
Problems with latex tokenization
1
#2 opened about 3 years ago
by
DimOgu
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot