Instructions to use ZeroAgency/zero-mistral-beta53-e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZeroAgency/zero-mistral-beta53-e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ZeroAgency/Mistral-Small-3.2-24B-Instruct-2506-Text-Only") model = PeftModel.from_pretrained(base_model, "ZeroAgency/zero-mistral-beta53-e2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d7e3bd254242b2b099f474279ed49afd76436c66ab3cce62fba85d039e04983
- Size of remote file:
- 12.9 kB
- SHA256:
- 3245f6f12ab9ff4d50dfb7a3c3ba270b6bc0890c14fe181317b2431b89ae0bbe
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