Instructions to use BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix 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, "BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix/resolve/main/training_args.bin
- Command line
-
hf download hf://BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BohdanPetryshyn/codellama-7b-openapi-completion-quick-fix/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 6c602c89b169317f500e2892b746f812955338253f66e899adecd82f6cc40f33
- Size of remote file:
- 5.11 kB
- SHA256:
- b30faf3691d9117dd6a8501eada677d0b78a3a8cab8a8ee2978c9c07d5ce435c
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