Instructions to use thakkkkkk/1a586dfc-002a-4160-bbc6-0823a0ff700f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thakkkkkk/1a586dfc-002a-4160-bbc6-0823a0ff700f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "thakkkkkk/1a586dfc-002a-4160-bbc6-0823a0ff700f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad1359eabba60524a56119d1e35046166ae6f33c0779570e53e72bcb42b9e0e8
- Size of remote file:
- 9.92 MB
- SHA256:
- 8bf0aa35f58490ed219adde7b7373aa03dd420656208a9774ff1584664985525
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