Instructions to use thangla01/1353372b-56b1-4945-bd2d-d031649112dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thangla01/1353372b-56b1-4945-bd2d-d031649112dd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5") model = PeftModel.from_pretrained(base_model, "thangla01/1353372b-56b1-4945-bd2d-d031649112dd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df95f6d8b7f73f0bc41e615f37022bd0f0106f981939254b53af48725929f54b
- Size of remote file:
- 94.5 MB
- SHA256:
- ebafc2e38b1fa46bfc377084b7d5a027ed9633eb90aaa740298a665f54245564
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