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