Instructions to use VenkyPas/llama38binstruct_summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VenkyPas/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, "VenkyPas/llama38binstruct_summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac9ea847a779c60f01b2fdedc770be6870f374720470fa61aa324453c2c727a6
- Size of remote file:
- 168 MB
- SHA256:
- eda238c7773a1659341c1b0da8bea2aae4932a97a404d692ecadf557835a0d19
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