Instructions to use cunghoctienganh/209f2443-ee8d-434c-9cf8-29844415a8dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/209f2443-ee8d-434c-9cf8-29844415a8dd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/209f2443-ee8d-434c-9cf8-29844415a8dd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2b33b99888b90ce11077f5c7224ac88c5f907d05df59f122044c1faddb4c07d
- Size of remote file:
- 9.92 MB
- SHA256:
- 2dfaf16ebb0edc3fdbade193c39d246aa0a980d06e1962b040ba838159c70c35
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