Instructions to use JavierIA/IACTEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JavierIA/IACTEST with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "JavierIA/IACTEST") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11cbebd90412aee20771b905e61558dbc942c8930fe4221f727d6e86ab9f73c6
- Size of remote file:
- 134 MB
- SHA256:
- 82dc9fad431d25c387fcfe7c5be9d2b48c501c528bd18f785cc1363752d0e489
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