How to use ka05ar/bert-base-multilingual-cased-VITD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ka05ar/bert-base-multilingual-cased-VITD")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ka05ar/bert-base-multilingual-cased-VITD") model = AutoModelForSequenceClassification.from_pretrained("ka05ar/bert-base-multilingual-cased-VITD", device_map="auto")
https://huggingface.co/ka05ar/bert-base-multilingual-cased-VITD/resolve/main/tokenizer.json
hf download hf://ka05ar/bert-base-multilingual-cased-VITD/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ka05ar/bert-base-multilingual-cased-VITD/resolve/main/tokenizer.json
