Instructions to use jimiscott/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jimiscott/peft-starcoder-lora-a100 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "jimiscott/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jimiscott/peft-starcoder-lora-a100: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/jimiscott/peft-starcoder-lora-a100/resolve/main/training_args.bin
- Command line
-
hf download hf://jimiscott/peft-starcoder-lora-a100/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jimiscott/peft-starcoder-lora-a100/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 4bf7acfd480d78f16c61cf58f132a7a30c4818226a1752408d0d765eaf697990
- Size of remote file:
- 5.24 kB
- SHA256:
- 1c85cc948cd4129e65f801c7d4c058124c2181387a7e6b36603b537c14c30e4b
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