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
File size: 433 Bytes
9d6cf11 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"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"
]
} |