Instructions to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/last-checkpoint/tokenizer.json
- Command line
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hf download hf://alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/last-checkpoint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/alchemist69/c40cb2d8-d318-48b7-bf71-35be915e0637/resolve/main/last-checkpoint/tokenizer.json
3.51 MB
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