Text Generation
PEFT
Safetensors
English
terraform
terraform-configuration
infrastructure-as-code
iac
hashicorp
codellama
lora
qlora
code-generation
devops
cloud
automation
configuration-management
Instructions to use rafiaa/terraform-codellama-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rafiaa/terraform-codellama-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "rafiaa/terraform-codellama-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53a234bf2a8b213f8c4edebc3f1a9e3029577a53897daa697c8f9495125d73f5
- Size of remote file:
- 4.6 kB
- SHA256:
- 5ce6b411763930e5bf203e954f08621cbe7096f1c46a4cb8ab58844d94b69172
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