Instructions to use aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4/resolve/03edc7d3ec7cb9c774579bff4796d74d6b6aed59/tokenizer.json
- Command line
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hf download hf://aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4@03edc7d3ec7cb9c774579bff4796d74d6b6aed59/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/aleegis12/5cd7fdbe-0992-4a40-9442-e660463aefb4/resolve/03edc7d3ec7cb9c774579bff4796d74d6b6aed59/tokenizer.json
3.51 MB
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