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