Instructions to use lorahub/flan_t5_large-lambada with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_large-lambada with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "lorahub/flan_t5_large-lambada") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from lorahub/flan_t5_large-lambada: direct link, hf CLI and curl.
- Browser
- Download file 19 MB
-
https://huggingface.co/lorahub/flan_t5_large-lambada/resolve/main/adapter_model.bin
- Command line
-
hf download hf://lorahub/flan_t5_large-lambada/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/lorahub/flan_t5_large-lambada/resolve/main/adapter_model.bin
19 MB
- Xet hash:
- bc7d535162b9523a0e84657d2f65ea2222bbb29dc44af8c5affaf7439aa6b3cc
- Size of remote file:
- 19 MB
- SHA256:
- 111956e103880508b64457bf7b93df32266f80504ed50017aaa78d4baa54a6ba
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