Instructions to use Paladiso/bb1f33a6-70a4-4d3f-95ca-3096bd3f4697 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/bb1f33a6-70a4-4d3f-95ca-3096bd3f4697 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-6.7b-instruct") model = PeftModel.from_pretrained(base_model, "Paladiso/bb1f33a6-70a4-4d3f-95ca-3096bd3f4697") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Paladiso/bb1f33a6-70a4-4d3f-95ca-3096bd3f4697: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/Paladiso/bb1f33a6-70a4-4d3f-95ca-3096bd3f4697/resolve/47f1ea084a5557cb7796061c5294faa24e073c86/training_args.bin
- Command line
-
hf download hf://Paladiso/bb1f33a6-70a4-4d3f-95ca-3096bd3f4697@47f1ea084a5557cb7796061c5294faa24e073c86/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paladiso/bb1f33a6-70a4-4d3f-95ca-3096bd3f4697/resolve/47f1ea084a5557cb7796061c5294faa24e073c86/training_args.bin
6.78 kB
- Xet hash:
- 3e9855758fcb685793ab19b488cfbe1e6beaa927f4cdb4f1951fa4a4249dfe64
- Size of remote file:
- 6.78 kB
- SHA256:
- 2c99f3f5266e93fcf94cfe2d6678e07ea93942534123a12652d1bfcb2db139f1
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