Instructions to use ihebjer00/finetuned-MistAct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ihebjer00/finetuned-MistAct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "ihebjer00/finetuned-MistAct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f38fa502930ec23767f6416d1228c338d72b52891ca6807d9df16ab862f6cd24
- Size of remote file:
- 4.92 kB
- SHA256:
- 16a7a127eb88cf88c63881464b5d79a3a610f224ddfdd8e4910ed63dab85146b
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