Instructions to use Skskskd/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Skskskd/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Skskskd/test") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Skskskd/test: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/Skskskd/test/resolve/main/tokenizer.json
- Command line
-
hf download hf://Skskskd/test/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Skskskd/test/resolve/main/tokenizer.json
3.62 MB
- Xet hash:
- b1d160b6d951c3bf97cd737d1a2f4d6f2b17f17ba2587f7250b446758d87e511
- Size of remote file:
- 3.62 MB
- SHA256:
- 6386c019c9a2ec0aeaafc7f5ee4c17155e7e27151843d4f9b2d0141aa3e57d5d
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