Instructions to use yoonLM/Matlab_fine_tuning_smolLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yoonLM/Matlab_fine_tuning_smolLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM-1.7B") model = PeftModel.from_pretrained(base_model, "yoonLM/Matlab_fine_tuning_smolLM") - Notebooks
- Google Colab
- Kaggle
Download saved_model/tokenizer.json from yoonLM/Matlab_fine_tuning_smolLM: direct link, hf CLI and curl.
- Browser
- Download file 2.1 MB
-
https://huggingface.co/yoonLM/Matlab_fine_tuning_smolLM/resolve/main/saved_model/tokenizer.json
- Command line
-
hf download hf://yoonLM/Matlab_fine_tuning_smolLM/saved_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/yoonLM/Matlab_fine_tuning_smolLM/resolve/main/saved_model/tokenizer.json
2.1 MB
- Xet hash:
- 4a0ac69328c14aa0aebc3c46be354c22043bb0f4fd2a03bff2841fb9c0e9c91e
- Size of remote file:
- 2.1 MB
- SHA256:
- 9ca9acddb6525a194ec8ac7a87f24fbba7232a9a15ffa1af0c1224fcd888e47c
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