PEFT
Safetensors
mistral
alignment-handbook
trl
sft
unsloth
Generated from Trainer
4-bit precision
bitsandbytes
Instructions to use Peter/uploadtestsmallstep2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Peter/uploadtestsmallstep2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b") model = PeftModel.from_pretrained(base_model, "Peter/uploadtestsmallstep2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Peter/uploadtestsmallstep2: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/Peter/uploadtestsmallstep2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Peter/uploadtestsmallstep2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Peter/uploadtestsmallstep2/resolve/main/tokenizer.json
1.8 MB
File too large to display, you can check the raw version instead.