Instructions to use josephmayo/HRM-Text-1B-sft-code-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use josephmayo/HRM-Text-1B-sft-code-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sapientinc/HRM-Text-1B") model = PeftModel.from_pretrained(base_model, "josephmayo/HRM-Text-1B-sft-code-LoRA") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from josephmayo/HRM-Text-1B-sft-code-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
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https://huggingface.co/josephmayo/HRM-Text-1B-sft-code-LoRA/resolve/main/tokenizer.json
- Command line
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hf download hf://josephmayo/HRM-Text-1B-sft-code-LoRA/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/josephmayo/HRM-Text-1B-sft-code-LoRA/resolve/main/tokenizer.json
4.73 MB
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