PiC/phrase_sense_disambiguation
Updated • 26 • 6
How to use Deehan1866/longformer-base-4096 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="Deehan1866/longformer-base-4096") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Deehan1866/longformer-base-4096")
model = AutoModelForQuestionAnswering.from_pretrained("Deehan1866/longformer-base-4096", device_map="auto")This model is a fine-tuned version of ../results/phrase_retrieval/PR-pass/qa/allenai/longformer-base-4096/finetuned on the PiC/phrase_sense_disambiguation dataset.
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The following hyperparameters were used during training: