Instructions to use el-walid/makataba-tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use el-walid/makataba-tinyllama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "el-walid/makataba-tinyllama") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6906cb1182fa0df960718858cfacc528a0a670e72bbcb61a4b8817a990a91362
- Size of remote file:
- 5.3 kB
- SHA256:
- b98d49d9d13e0473f82b2e1952c2ae8ca40c6c2b27dfa2ed651c231c1527eda6
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