Fill-Mask
Transformers
PyTorch
Safetensors
Portuguese
modernbert
portuguese
encoder
masked-lm
long-context
moberto
Eval Results (legacy)
Instructions to use Tropic-AI/moBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tropic-AI/moBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Tropic-AI/moBERTo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Tropic-AI/moBERTo") model = AutoModelForMaskedLM.from_pretrained("Tropic-AI/moBERTo") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "[CLS]", | |
| "is_local": false, | |
| "mask_token": "[MASK]", | |
| "merges_file": "artifacts/modernbert_bpe_tokenizer_artifacts/merges.txt", | |
| "model_max_length": 8192, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "[UNK]", | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ] | |
| } |