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