How to use tmnam20/bert-base-multilingual-cased-mrpc-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tmnam20/bert-base-multilingual-cased-mrpc-1")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tmnam20/bert-base-multilingual-cased-mrpc-1") model = AutoModelForSequenceClassification.from_pretrained("tmnam20/bert-base-multilingual-cased-mrpc-1", device_map="auto")
https://huggingface.co/tmnam20/bert-base-multilingual-cased-mrpc-1/resolve/main/tokenizer.json
hf download hf://tmnam20/bert-base-multilingual-cased-mrpc-1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/tmnam20/bert-base-multilingual-cased-mrpc-1/resolve/main/tokenizer.json
