How to use from the
Use from the
Transformers library
# 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="bookbot/roberta-base-emphasis-onnx-quantized")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering

tokenizer = AutoTokenizer.from_pretrained("bookbot/roberta-base-emphasis-onnx-quantized")
model = AutoModelForQuestionAnswering.from_pretrained("bookbot/roberta-base-emphasis-onnx-quantized", device_map="auto")
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This is a custom Roberta model used for adding emphasis to phonemes. Example: l藞忙d瑟d蓹 -> "l藞忙d"瑟d蓹

Model Details

Roberta base model

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