Text Classification
Transformers
Safetensors
Portuguese
English
bert
aes
Eval Results (legacy)
text-embeddings-inference
Instructions to use kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C1-essay_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C1-essay_only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C1-essay_only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C1-essay_only") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C1-essay_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C1-essay_only / special_tokens_map.json
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |