Instructions to use OscarXZQ/date_understanding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/date_understanding 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, "OscarXZQ/date_understanding") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OscarXZQ/date_understanding: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/OscarXZQ/date_understanding/resolve/main/training_args.bin
- Command line
-
hf download hf://OscarXZQ/date_understanding/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OscarXZQ/date_understanding/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- b6cf14ede9b30fa3066a0d5c982eec4089e01493afebc0d967010eb028df795f
- Size of remote file:
- 5.62 kB
- SHA256:
- a408f9f3e562306167884bd9d0131831795978d65ef9a87d7e2995119d56824a
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