Instructions to use tkay264/data-tk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tkay264/data-tk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "tkay264/data-tk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 494347cec95929a29ec774e9ce8ecd64dfec8b3d77e155701c6dc8cf6c8d384b
- Size of remote file:
- 134 MB
- SHA256:
- 32c1b96183794cdbf17571b1b3d1608d7f8917f7b99aed737dfd76bdab125fb1
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