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