Fill-Mask
Transformers
PyTorch
Safetensors
Portuguese
modernbert
portuguese
encoder
masked-lm
long-context
moberto
Eval Results (legacy)
Instructions to use Tropic-AI/moBERTo-orig-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tropic-AI/moBERTo-orig-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Tropic-AI/moBERTo-orig-tokenizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Tropic-AI/moBERTo-orig-tokenizer") model = AutoModelForMaskedLM.from_pretrained("Tropic-AI/moBERTo-orig-tokenizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cca7e777ec47dc96a06037f7954185cfb312641ccac0e02435ce03857db5147
- Size of remote file:
- 599 MB
- SHA256:
- ff516ca06d59c508fb2b02610f6c004fd3842a9f63b30a18dcb65d70985d54e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.