eraldoluis/faquad
Updated โข 91 โข 10
How to use eraldoluis/faquad-bert-base-portuguese-cased with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# pip install "transformers<5.0.0"
from transformers import pipeline
pipe = pipeline("question-answering", model="eraldoluis/faquad-bert-base-portuguese-cased") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("eraldoluis/faquad-bert-base-portuguese-cased")
model = AutoModelForQuestionAnswering.from_pretrained("eraldoluis/faquad-bert-base-portuguese-cased", device_map="auto")This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the FaQuAD dataset.
More information needed
More information needed
The model was trained on the train split and evaluated on the eval split.
The following hyperparameters were used during training:
Base model
neuralmind/bert-base-portuguese-cased