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 scheduler.pt from gpol13/codet5_sparse_lora_l1: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/gpol13/codet5_sparse_lora_l1/resolve/main/scheduler.pt
- Command line
-
hf download hf://gpol13/codet5_sparse_lora_l1/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/gpol13/codet5_sparse_lora_l1/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 57f077a6b36e40b0fd340546ba3b201a31f8f5bdaae3b985b494996cbb2d0595
- Size of remote file:
- 1.06 kB
- SHA256:
- 37326798aa680a8e4350ddf21cb6c35d99c6dcd5c03a9af7c8fa1d1a772c157d
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