Instructions to use Raneechu/mininglarge2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Raneechu/mininglarge2 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, "Raneechu/mininglarge2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Raneechu/mininglarge2: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Raneechu/mininglarge2/resolve/main/training_args.bin
- Command line
-
hf download hf://Raneechu/mininglarge2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Raneechu/mininglarge2/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 05bfa7ad0943ff07937291243f41ddc5d60d685fffefce1d8c480474ddcde9a2
- Size of remote file:
- 5.05 kB
- SHA256:
- 29a69de957ed8312b6ee77e003a061523255c78e9a9dad732480903724acb3cc
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