Instructions to use Vishal24/tinyllama_review_summary_adapter_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vishal24/tinyllama_review_summary_adapter_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Vishal24/tinyllama_review_summary_adapter_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fa3e2be9d0c5615ee8727e800675c9c241ce5554d06db3d2c77d5956dfbc343
- Size of remote file:
- 50.6 MB
- SHA256:
- bf904e30c998b34ba562a8cb64d4612dd468cca85437eee781da3aa58aa51aa2
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