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:
- 37ff58b3749f9b0f26dc0e828e9b70c1e195339dfa23800266b35e978198c4aa
- Size of remote file:
- 36.1 MB
- SHA256:
- cf3322ebabf5fdd0f394ea20ade983db6aa6ae49d99316d807711cbca8333b5c
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