Instructions to use AravindS373/bird_multi_700 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AravindS373/bird_multi_700 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "AravindS373/bird_multi_700") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AravindS373/bird_multi_700: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/AravindS373/bird_multi_700/resolve/main/tokenizer.json
- Command line
-
hf download hf://AravindS373/bird_multi_700/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/AravindS373/bird_multi_700/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 36dc0598da1686905ebe8e855514c19cc4304fdd9d27c4ba21cc830f98c11696
- Size of remote file:
- 11.4 MB
- SHA256:
- 63a2951d5edfa5cc0a2346ef872f8c77a2920274cfc3b503b04e3799104dee80
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