How to use Dc-4nderson/transcript_summarizer_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Dc-4nderson/transcript_summarizer_model")
How to use Dc-4nderson/transcript_summarizer_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dc-4nderson/transcript_summarizer_model", device_map="auto")
https://huggingface.co/Dc-4nderson/transcript_summarizer_model/resolve/main/tokenizer.json
hf download hf://Dc-4nderson/transcript_summarizer_model/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Dc-4nderson/transcript_summarizer_model/resolve/main/tokenizer.json
