Instructions to use Ketan3101/ConvoBrief with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
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") - Transformers
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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ketan3101/ConvoBrief", dtype="auto") - Notebooks
- Google Colab
- Kaggle