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("tinyllama/tinyllama-1.1b-intermediate-step-1431k-3t") model = PeftModel.from_pretrained(base_model, "tcarwash/tinyllama_instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2490c03e16ca19de54a4bde3037dd5fcfcab8c34043f787ecf35511e6c95a869
- Size of remote file:
- 4.98 kB
- SHA256:
- 9c424d2d2c93624e7bd109cd8c85073defd3d9f6fc8ff9e60ba5a4db87e81d44
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