Instructions to use fernandals/llama-2-7b-news-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fernandals/llama-2-7b-news-gen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "fernandals/llama-2-7b-news-gen") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fernandals/llama-2-7b-news-gen: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/fernandals/llama-2-7b-news-gen/resolve/main/training_args.bin
- Command line
-
hf download hf://fernandals/llama-2-7b-news-gen/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fernandals/llama-2-7b-news-gen/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- dc7741303d6e4f6927f2dfe8400b93af04681138a2dedf6999c6a9e64d5bdadf
- Size of remote file:
- 4.66 kB
- SHA256:
- 4cf3e32ea2b4907e0fa9d19e82920fec5c8dea1b21ccbf24d5eaf637a058bf61
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