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
Commit History
Update `learning-curves.png` 4cb1838
Add link to paper da8dea8
Update the *Citing* section in `README.md` 37d6434
Update README.md 3414676
Update README.md 78e8c3a
Add preliminary citing section eed60cb
Update README.md f7cf9ee
Upload learning-curves.png 4fec9fc
Document huggingface/transformers#16936 in `README.md` cef50f4
Vít Novotný commited on
Document huggingface/transformers#16936 in `README.md` 12b87ed
Vít Novotný commited on
Update `README.md` 204c0b9
Vít Novotný commited on
Update section *How to use* in `README.md` 6b90090
Vít Novotný commited on
Update link to repository f353573
Vít Novotný commited on
Update link to repository c5f9bdf
Vít Novotný commited on
Add `README.md` c48f820
Vít Novotný commited on