How to use tyavika/Distilbert-QA-Pytorch-FULL 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="tyavika/Distilbert-QA-Pytorch-FULL")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tyavika/Distilbert-QA-Pytorch-FULL") model = AutoModelForQuestionAnswering.from_pretrained("tyavika/Distilbert-QA-Pytorch-FULL", device_map="auto")
https://huggingface.co/tyavika/Distilbert-QA-Pytorch-FULL/resolve/29aedcc3bb6fa102b592fa187e2e06a77c1d80ff/tokenizer.json
hf download hf://tyavika/Distilbert-QA-Pytorch-FULL@29aedcc3bb6fa102b592fa187e2e06a77c1d80ff/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/tyavika/Distilbert-QA-Pytorch-FULL/resolve/29aedcc3bb6fa102b592fa187e2e06a77c1d80ff/tokenizer.json
