Instructions to use Avkashkumar/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Avkashkumar/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, "Avkashkumar/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Avkashkumar/peft-starcoder-lora-a100: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Avkashkumar/peft-starcoder-lora-a100/resolve/main/training_args.bin
- Command line
-
hf download hf://Avkashkumar/peft-starcoder-lora-a100/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Avkashkumar/peft-starcoder-lora-a100/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- fc895fbadc10bd326926e9156117cabe1460cb4b155730ec6b6c28b6cd0bd387
- Size of remote file:
- 5.18 kB
- SHA256:
- d061165e16a72c26637eac5001b81038caf2963f52c34a5947c7f63359f550a0
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