Instructions to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21/resolve/1e89f1833c8ba41c9f0201c5f50ab5cf2ca91860/last-checkpoint/tokenizer.json
- Command line
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hf download hf://dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21@1e89f1833c8ba41c9f0201c5f50ab5cf2ca91860/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dimasik87/7d8264c0-1221-4895-93fd-59d0aeba6a21/resolve/1e89f1833c8ba41c9f0201c5f50ab5cf2ca91860/last-checkpoint/tokenizer.json
3.62 MB
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