How to use Ketan3101/ConvoBrief with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn") model = PeftModel.from_pretrained(base_model, "Ketan3101/ConvoBrief")
How to use Ketan3101/ConvoBrief with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="Ketan3101/ConvoBrief")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ketan3101/ConvoBrief", device_map="auto")
https://huggingface.co/Ketan3101/ConvoBrief/resolve/main/tokenizer.json
hf download hf://Ketan3101/ConvoBrief/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Ketan3101/ConvoBrief/resolve/main/tokenizer.json
