Instructions to use fliarbi/detailed_about_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fliarbi/detailed_about_data with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fliarbi/detailed_about_data") model = AutoModelForSeq2SeqLM.from_pretrained("fliarbi/detailed_about_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fliarbi/detailed_about_data: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/fliarbi/detailed_about_data/resolve/main/training_args.bin
- Command line
-
hf download hf://fliarbi/detailed_about_data/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fliarbi/detailed_about_data/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 4b96f93d7b3f64a660f4c784f6cf992a9a25f5703e86aa84598aed9440483274
- Size of remote file:
- 4.86 kB
- SHA256:
- b13703ef1fb582cbad99e232057dfcd999c6559765651d9f74df5493a7b6b2b0
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