PORTULAN
/

albertina-900m-portuguese-ptpt-encoder

foundation model

Inference Endpoints

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jarodrigues commited on May 8, 2023

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@@ -136,7 +136,6 @@ The model can be used by fine-tuning it for a specific task:
 >>> from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer
 >>> from datasets import load_dataset
 >>> model = AutoModelForSequenceClassification.from_pretrained("PORTULAN/albertina-pt-pt", num_labels=2)
 >>> tokenizer = AutoTokenizer.from_pretrained("PORTULAN/albertina-pt-pt")
 >>> dataset = load_dataset("PORTULAN/glueptpt", "rte")

 >>> from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer
 >>> from datasets import load_dataset
 >>> model = AutoModelForSequenceClassification.from_pretrained("PORTULAN/albertina-pt-pt", num_labels=2)
 >>> tokenizer = AutoTokenizer.from_pretrained("PORTULAN/albertina-pt-pt")
 >>> dataset = load_dataset("PORTULAN/glueptpt", "rte")