Text Classification
Transformers
Safetensors
Portuguese
English
deberta-v2
aes
Eval Results (legacy)
text-embeddings-inference
Instructions to use kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C5-essay_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C5-essay_only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C5-essay_only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C5-essay_only") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/jbcs2025_albertina-1b5-portuguese-ptbr-encoder-encoder_classification-C5-essay_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
46296a2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:44b065d5cee3f7a37fe958cabe608a84cb72622be79016a939d637671a63f7d4
size 5777
|