Instructions to use arham6/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arham6/tmp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-llm-7b-chat") model = PeftModel.from_pretrained(base_model, "arham6/tmp") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from arham6/tmp: direct link, hf CLI and curl.
- Browser
- Download file 4.61 MB
-
https://huggingface.co/arham6/tmp/resolve/main/tokenizer.json
- Command line
-
hf download hf://arham6/tmp/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/arham6/tmp/resolve/main/tokenizer.json
4.61 MB
File too large to display, you can check the raw version instead.