Instructions to use farpluto/SmolLM-135M-Instruct-Finetune-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use farpluto/SmolLM-135M-Instruct-Finetune-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM-135M") model = PeftModel.from_pretrained(base_model, "farpluto/SmolLM-135M-Instruct-Finetune-LoRA") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from farpluto/SmolLM-135M-Instruct-Finetune-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 2.1 MB
-
https://huggingface.co/farpluto/SmolLM-135M-Instruct-Finetune-LoRA/resolve/main/tokenizer.json
- Command line
-
hf download hf://farpluto/SmolLM-135M-Instruct-Finetune-LoRA/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/farpluto/SmolLM-135M-Instruct-Finetune-LoRA/resolve/main/tokenizer.json
2.1 MB
File too large to display, you can check the raw version instead.