Instructions to use Satish678/t5-large_PREFIX_TUNING_req2case with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Satish678/t5-large_PREFIX_TUNING_req2case with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("t5-large") model = PeftModel.from_pretrained(base_model, "Satish678/t5-large_PREFIX_TUNING_req2case") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Satish678/t5-large_PREFIX_TUNING_req2case: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/Satish678/t5-large_PREFIX_TUNING_req2case/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Satish678/t5-large_PREFIX_TUNING_req2case/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Satish678/t5-large_PREFIX_TUNING_req2case/resolve/main/adapter_model.bin
3.93 MB
- Xet hash:
- 6881f66304da9aaf90a8a4200a906de386e9e0f232d02ae545d6289b7ed30f69
- Size of remote file:
- 3.93 MB
- SHA256:
- aeb2624b64e6664d8eaae68ce5a3fec23f4abe7851f43a80d3f67bf953c466a1
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