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:
- 9ae7591fc2e9c7d2d70945afe8f8ae035af0a6413e5ca89c6fe4239c4d177ed7
- Size of remote file:
- 9.82 MB
- SHA256:
- 8c7528b2d86b6675815a1cad8950dd236cfdd5d51ed51b2c0fa3f87ee0e33ee5
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