Instructions to use Komal-patra/EU_AI_ACT_T5_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Komal-patra/EU_AI_ACT_T5_Model with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "Komal-patra/EU_AI_ACT_T5_Model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Komal-patra/EU_AI_ACT_T5_Model: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Komal-patra/EU_AI_ACT_T5_Model/resolve/main/training_args.bin
- Command line
-
hf download hf://Komal-patra/EU_AI_ACT_T5_Model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Komal-patra/EU_AI_ACT_T5_Model/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- b222fe2ea8eae5e49efee255965ef79fa0da2946e6bdc7df30d108148acce75e
- Size of remote file:
- 4.98 kB
- SHA256:
- 39f6180e253255c516a07e4219d8d45141f654626909f972edfcf35138e53d9a
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