Instructions to use SidSinha16/Test_Training_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SidSinha16/Test_Training_v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "SidSinha16/Test_Training_v3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SidSinha16/Test_Training_v3: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/SidSinha16/Test_Training_v3/resolve/main/training_args.bin
- Command line
-
hf download hf://SidSinha16/Test_Training_v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SidSinha16/Test_Training_v3/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 9d84435d39792cb1646bfe0c34199800bca830fbf6d2b11a9fa013acdb3bdf9b
- Size of remote file:
- 4.92 kB
- SHA256:
- 9ba77d6a721ba4e3463b0b4b25fcb8cf5f8f89584be13254435fd935f72d4e54
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