Instructions to use sci-m-wang/internlm2-7b-sa-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sci-m-wang/internlm2-7b-sa-v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("internlm/internlm2-7b") model = PeftModel.from_pretrained(base_model, "sci-m-wang/internlm2-7b-sa-v0.1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sci-m-wang/internlm2-7b-sa-v0.1: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/sci-m-wang/internlm2-7b-sa-v0.1/resolve/main/training_args.bin
- Command line
-
hf download hf://sci-m-wang/internlm2-7b-sa-v0.1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sci-m-wang/internlm2-7b-sa-v0.1/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 903b30b88f2fd2acade3d302f029fdd09a2f0c333ca48d10915378ea6fe0a8d9
- Size of remote file:
- 4.92 kB
- SHA256:
- 6aeb98d9ae3417a7458d8bc4b7970ac6d0df634a26c3c4b401f81d098581369c
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