How to use Tachi67/EthcalLLM-RM-consequences with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tachi67/EthcalLLM-RM-consequences")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tachi67/EthcalLLM-RM-consequences") model = AutoModelForSequenceClassification.from_pretrained("Tachi67/EthcalLLM-RM-consequences", device_map="auto")
https://huggingface.co/Tachi67/EthcalLLM-RM-consequences/resolve/main/tokenizer.json
hf download hf://Tachi67/EthcalLLM-RM-consequences/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Tachi67/EthcalLLM-RM-consequences/resolve/main/tokenizer.json
