Instructions to use MRNH/llama-2-13b-chat-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MRNH/llama-2-13b-chat-hf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("daryl149/llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "MRNH/llama-2-13b-chat-hf") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from MRNH/llama-2-13b-chat-hf: direct link, hf CLI and curl.
- Browser
- Download file 210 MB
-
https://huggingface.co/MRNH/llama-2-13b-chat-hf/resolve/main/adapter_model.bin
- Command line
-
hf download hf://MRNH/llama-2-13b-chat-hf/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/MRNH/llama-2-13b-chat-hf/resolve/main/adapter_model.bin
210 MB
- Xet hash:
- 9dc43aff87e360e5864bf4bdc3537e84daa571f7073e0b91d4c72f3f1e3b6c46
- Size of remote file:
- 210 MB
- SHA256:
- ee46f0f767fab533d22d5b68977397f5347a1b421350fc84c4e2c05df311dc67
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