How to use ksabeh/bert-base-uncased-attribute-correction-mlm 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="ksabeh/bert-base-uncased-attribute-correction-mlm")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ksabeh/bert-base-uncased-attribute-correction-mlm") model = AutoModelForQuestionAnswering.from_pretrained("ksabeh/bert-base-uncased-attribute-correction-mlm", device_map="auto")
https://huggingface.co/ksabeh/bert-base-uncased-attribute-correction-mlm/resolve/main/tokenizer.json
hf download hf://ksabeh/bert-base-uncased-attribute-correction-mlm/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ksabeh/bert-base-uncased-attribute-correction-mlm/resolve/main/tokenizer.json
