How to use hf-internal-testing/tiny-random-DebertaV2ForQuestionAnswering 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="hf-internal-testing/tiny-random-DebertaV2ForQuestionAnswering")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-DebertaV2ForQuestionAnswering", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-DebertaV2ForQuestionAnswering/resolve/ac3073396dc7163fbf8c5d00df7dfd0aaa09c591/tokenizer.json
hf download hf://hf-internal-testing/tiny-random-DebertaV2ForQuestionAnswering@ac3073396dc7163fbf8c5d00df7dfd0aaa09c591/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-DebertaV2ForQuestionAnswering/resolve/ac3073396dc7163fbf8c5d00df7dfd0aaa09c591/tokenizer.json
