Instructions to use linsanityuk/task-8-dailysub_batchB_202505051143 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linsanityuk/task-8-dailysub_batchB_202505051143 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "linsanityuk/task-8-dailysub_batchB_202505051143") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd9c8326bf90d2ea4b52971ac334a766b36366d769ff357055c29c1c4c73346d
- Size of remote file:
- 1.09 GB
- SHA256:
- d6d8a0f02a5791e88afd534af1a22f42abfb3168c05f0e1b1ad732da2e8a1df3
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