Instructions to use MRNH/llama-2-13b-GEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MRNH/llama-2-13b-GEC 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-GEC") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MRNH/llama-2-13b-GEC: direct link, hf CLI and curl.
- Browser
- Download file 26 GB
-
https://huggingface.co/MRNH/llama-2-13b-GEC/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MRNH/llama-2-13b-GEC/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MRNH/llama-2-13b-GEC/resolve/main/pytorch_model.bin
26 GB
- Xet hash:
- d3eef20a0b1c6e11f19be42550a7186fa3da26ffca46cd7aaef2e1333131dfa9
- Size of remote file:
- 26 GB
- SHA256:
- d22098d8e7c46cebc38c4616f4c8d9bddcb73b4effda3c3217d50b4c47dbd0d0
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