Instructions to use vpkrishna/llama38binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vpkrishna/llama38binstruct_summarize with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "vpkrishna/llama38binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b3a8ddbee73114fb3b0d204cc2360ea3dd7137a7c61105242bd70ccf51d1612
- Size of remote file:
- 5.43 kB
- SHA256:
- f52e5fe216009eec8b3e369fae845d481ba7f79d6486b867f01d9e87147cc361
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