Instructions to use kamaludeen/falcon-7b-instruct-ft-cybersec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamaludeen/falcon-7b-instruct-ft-cybersec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilsonrodrigues/falcon-7b-instruct-sharded") model = PeftModel.from_pretrained(base_model, "kamaludeen/falcon-7b-instruct-ft-cybersec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55a1eefc186a1a37974831b22b5fb82cc90b8f9186a13a58ab556d39d52a335c
- Size of remote file:
- 18.9 MB
- SHA256:
- 049e04be56ad4d10c1d6748fcd0be8fbe3b1ff09d7649396b9f0f5bc3cbc1fcd
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