Instructions to use SALT-NLP/CultureBank-Summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SALT-NLP/CultureBank-Summarizer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "SALT-NLP/CultureBank-Summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca848f11949c0006d3a5bd793d18a9387a97bb11f57510ead1784fc2cde51ffe
- Size of remote file:
- 6.86 MB
- SHA256:
- 64c3948a2489424ddc75c7f9894afb019e3f06dc0ae2971b922a654cbc2a24ec
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