Instructions to use bane5631/72219773-77e9-4ed5-8179-eb34166383f9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/72219773-77e9-4ed5-8179-eb34166383f9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-14m") model = PeftModel.from_pretrained(base_model, "bane5631/72219773-77e9-4ed5-8179-eb34166383f9") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bane5631/72219773-77e9-4ed5-8179-eb34166383f9: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
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https://huggingface.co/bane5631/72219773-77e9-4ed5-8179-eb34166383f9/resolve/main/tokenizer.json
- Command line
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hf download hf://bane5631/72219773-77e9-4ed5-8179-eb34166383f9/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/bane5631/72219773-77e9-4ed5-8179-eb34166383f9/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.