Instructions to use osbm/samsum-llama-quantized-first with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use osbm/samsum-llama-quantized-first with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-13b") model = PeftModel.from_pretrained(base_model, "osbm/samsum-llama-quantized-first") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c6966b78698a0374714a39e573d7eb99d1ba172b62f81fc949cac3f855419bc
- Size of remote file:
- 26.3 MB
- SHA256:
- 89d68f68c57d2285a9842467dd248325fb228d9b6e738064665722a44ad36140
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