Instructions to use ManishThota/Llama-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ManishThota/Llama-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "ManishThota/Llama-2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ManishThota/Llama-2: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/ManishThota/Llama-2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ManishThota/Llama-2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ManishThota/Llama-2/resolve/main/adapter_model.bin
134 MB
- Xet hash:
- c7d0d6a2667e7ec43fd887121cb01a9ffcbb63861fab0f8bcc10e6ef19ecfb24
- Size of remote file:
- 134 MB
- SHA256:
- 9d96decafed46342eae4f9128bbb4bdb422e513ed1116f57ebb8e37ba9bbd5e5
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