Instructions to use gpol13/codet5_sparse_lora_l1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gpol13/codet5_sparse_lora_l1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base") model = PeftModel.from_pretrained(base_model, "gpol13/codet5_sparse_lora_l1") - Notebooks
- Google Colab
- Kaggle
Download scaler.pt from gpol13/codet5_sparse_lora_l1: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/gpol13/codet5_sparse_lora_l1/resolve/main/scaler.pt
- Command line
-
hf download hf://gpol13/codet5_sparse_lora_l1/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/gpol13/codet5_sparse_lora_l1/resolve/main/scaler.pt
988 Bytes
- Xet hash:
- eb1dff264b16ae71159e978349a4f91ea26419db5c19810e5688803590279c88
- Size of remote file:
- 988 Bytes
- SHA256:
- b30172cf14f5dbe00280d63e36224a9f28dc7a0e8b38a74ceb5eb284e84da363
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