Instructions to use tcarwash/tinyllama-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tcarwash/tinyllama-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PY007/TinyLlama-1.1B-step-50K-105b") model = PeftModel.from_pretrained(base_model, "tcarwash/tinyllama-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 812099ce5abd84c75366645ac53b250f85ec2932425d3b2f299eb9f0be7a7847
- Size of remote file:
- 36.1 MB
- SHA256:
- c255b6e4eb69b2872ef65d2d95e9893879a60db195dc64dab5deaa2a2c2dc572
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