Instructions to use Blitock/ifttt-codellama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Blitock/ifttt-codellama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "Blitock/ifttt-codellama") - Notebooks
- Google Colab
- Kaggle
Download codellama/checkpoint-200/optimizer.pt from Blitock/ifttt-codellama: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/Blitock/ifttt-codellama/resolve/main/codellama/checkpoint-200/optimizer.pt
- Command line
-
hf download hf://Blitock/ifttt-codellama/codellama/checkpoint-200/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Blitock/ifttt-codellama/resolve/main/codellama/checkpoint-200/optimizer.pt
320 MB
- Xet hash:
- 557a898d47eb55f146c8f87c0f95dcd14f830835ce1305fe8f843f1b9829c5f0
- Size of remote file:
- 320 MB
- SHA256:
- 01b30fe1d69c0b94c231469b8f5b939883fe3f2c0b5049fc0b8c8ad071856d64
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