How to use SmartestBoy/mallam-ai-detector with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("mesolitica/mallam-1.1B-4096") model = PeftModel.from_pretrained(base_model, "SmartestBoy/mallam-ai-detector")
How to use SmartestBoy/mallam-ai-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SmartestBoy/mallam-ai-detector")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SmartestBoy/mallam-ai-detector") model = AutoModelForSequenceClassification.from_pretrained("SmartestBoy/mallam-ai-detector")
How to use SmartestBoy/mallam-ai-detector with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for SmartestBoy/mallam-ai-detector to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for SmartestBoy/mallam-ai-detector to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for SmartestBoy/mallam-ai-detector to start chatting
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="SmartestBoy/mallam-ai-detector", max_seq_length=2048, )
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