Instructions to use aryamanpathak/llm_tinyllama_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aryamanpathak/llm_tinyllama_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "aryamanpathak/llm_tinyllama_v2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aryamanpathak/llm_tinyllama_v2: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/aryamanpathak/llm_tinyllama_v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://aryamanpathak/llm_tinyllama_v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aryamanpathak/llm_tinyllama_v2/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 05cbb1fdaebac07f25042b37aa857c444241d88047d0e63eb5ab10ff5167b829
- Size of remote file:
- 17.5 MB
- SHA256:
- 824fdbafc31e91a3ddeb10b351748aa7dbb7d859301a131950c980e91bc85395
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