Instructions to use danangharis/falcon-7b-python_code_instructions_18k_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use danangharis/falcon-7b-python_code_instructions_18k_v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "danangharis/falcon-7b-python_code_instructions_18k_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a8952f09111f9f6877b979972f25bae8446f4fe42d20ebca5eea8fc950517b3
- Size of remote file:
- 18.9 MB
- SHA256:
- aa992255de72b2a9540eaf3afe1cb4c949e1cd7fdfcbac0489ebc0791890834b
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