Instructions to use aleegis10/42e33b36-acc2-4cfe-9eba-d0e6fd6dcf29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/42e33b36-acc2-4cfe-9eba-d0e6fd6dcf29 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "aleegis10/42e33b36-acc2-4cfe-9eba-d0e6fd6dcf29") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6850038397fd3dabcbf3a1b7ad6834a639b41857e6738a2ebee6f3140ca7a01
- Size of remote file:
- 6.84 kB
- SHA256:
- 89a75d0670b61abf76c7845e9ca5364c16b3e23112d540a4d6e798e328b72789
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