How to use mehedi4/SafeAge-XLM-R-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mehedi4/SafeAge-XLM-R-Base")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mehedi4/SafeAge-XLM-R-Base") model = AutoModelForSequenceClassification.from_pretrained("mehedi4/SafeAge-XLM-R-Base", device_map="auto")
https://huggingface.co/mehedi4/SafeAge-XLM-R-Base/resolve/main/requirements.txt
hf download hf://mehedi4/SafeAge-XLM-R-Base/requirements.txt
curl -L -o requirements.txt https://huggingface.co/mehedi4/SafeAge-XLM-R-Base/resolve/main/requirements.txt
