Instructions to use paul21/llama-30b-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use paul21/llama-30b-20 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/gpfsscratch/rech/cwa/umm59ig/llm/llama-30b") model = PeftModel.from_pretrained(base_model, "paul21/llama-30b-20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbc55683903da59decc4bd4b3b170da70441cb0ca1bb9fc0101f7c2a3c7afc21
- Size of remote file:
- 4.03 kB
- SHA256:
- 89af4f059192bececc9a365b87648b41cac6624d4120478ba28c09362ec59131
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