Instructions to use KASHU101/flan-t5-lora-summarization-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KASHU101/flan-t5-lora-summarization-optimized with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KASHU101/flan-t5-lora-summarization-optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KASHU101/flan-t5-lora-summarization-optimized: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/KASHU101/flan-t5-lora-summarization-optimized/resolve/main/tokenizer.json
- Command line
-
hf download hf://KASHU101/flan-t5-lora-summarization-optimized/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KASHU101/flan-t5-lora-summarization-optimized/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.