Instructions to use filipesantoscv11/51dc228a-829b-403b-9edc-ec1e0ef97a8e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/51dc228a-829b-403b-9edc-ec1e0ef97a8e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "filipesantoscv11/51dc228a-829b-403b-9edc-ec1e0ef97a8e") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from filipesantoscv11/51dc228a-829b-403b-9edc-ec1e0ef97a8e: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/filipesantoscv11/51dc228a-829b-403b-9edc-ec1e0ef97a8e/resolve/main/training_args.bin
- Command line
-
hf download hf://filipesantoscv11/51dc228a-829b-403b-9edc-ec1e0ef97a8e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/filipesantoscv11/51dc228a-829b-403b-9edc-ec1e0ef97a8e/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 9a12748f5eb051fcc01ae9468dda27c01489680eec6e551ddd5c131873a5f9a5
- Size of remote file:
- 6.78 kB
- SHA256:
- 36b81a2013fc945bf768e8d738e29817db401a2ea6f333d1c7152602bc8dfd08
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