Instructions to use alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3") model = PeftModel.from_pretrained(base_model, "alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48: direct link, hf CLI and curl.
- Browser
- Download file 3.67 MB
-
https://huggingface.co/alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/resolve/main/tokenizer.json
- Command line
-
hf download hf://alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/alchemist69/5542c032-d3f2-447d-a511-e2f464ac0f48/resolve/main/tokenizer.json
3.67 MB
File too large to display, you can check the raw version instead.