Instructions to use DesDea1/e0428bac-e71b-40ed-b453-d7547b91824d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DesDea1/e0428bac-e71b-40ed-b453-d7547b91824d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "DesDea1/e0428bac-e71b-40ed-b453-d7547b91824d") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DesDea1/e0428bac-e71b-40ed-b453-d7547b91824d: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/DesDea1/e0428bac-e71b-40ed-b453-d7547b91824d/resolve/main/training_args.bin
- Command line
-
hf download hf://DesDea1/e0428bac-e71b-40ed-b453-d7547b91824d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DesDea1/e0428bac-e71b-40ed-b453-d7547b91824d/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 5d9ea61a14b9c01509ced0ea766cd5dd7c6697787ac52fac3131a3fd4ee7cd99
- Size of remote file:
- 6.78 kB
- SHA256:
- 8ed665c3757f6b82e62a6c37920b76ddc50f1b48fa9f3b6a61d3c7739ac1dc26
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