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:
- f997bfb3e2bb7d9ebe385dca6e02111c55ac11e447607e613732193a3830e4c0
- Size of remote file:
- 5.05 kB
- SHA256:
- 487ef83d1403bbcd699051afd588c197e95bbc9d2cc9040f34dd0ccdac6dc8b2
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