How to use hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering 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-tiny-model-private/tiny-random-RoFormerForQuestionAnswering")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering/resolve/92f3584dfb398c7e1e0f8dc9cc07caac0ac4e1aa/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering@92f3584dfb398c7e1e0f8dc9cc07caac0ac4e1aa/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForQuestionAnswering/resolve/92f3584dfb398c7e1e0f8dc9cc07caac0ac4e1aa/tokenizer.json
