Instructions to use impossibleexchange/dipft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use impossibleexchange/dipft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("baxtos/bigirnik11-33") model = PeftModel.from_pretrained(base_model, "impossibleexchange/dipft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29078385d3a595a59f376702d8edeb9446769e5e10492eba51259120810426c5
- Size of remote file:
- 6.01 kB
- SHA256:
- eebe6282443be8f92f5129f395600932209b1b2147cd176d755c0b27c9abf8f3
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