Instructions to use dhruvsangani/FeatBot_18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhruvsangani/FeatBot_18 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "dhruvsangani/FeatBot_18") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40251a9c4e96b7817fadf7ef8cc806f15593298ee0d80bfd565551c38555a26f
- Size of remote file:
- 5.24 kB
- SHA256:
- 73d0e5e7dd14795967365aa6a3a087febc5d6dcfbae52bf43cf61b3d879c9ded
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