Instructions to use IAmSkyDra/BARTBana_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IAmSkyDra/BARTBana_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IAmSkyDra/BARTBana_v1") model = AutoModelForSeq2SeqLM.from_pretrained("IAmSkyDra/BARTBana_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from IAmSkyDra/BARTBana_v1: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/IAmSkyDra/BARTBana_v1/resolve/main/training_args.bin
- Command line
-
hf download hf://IAmSkyDra/BARTBana_v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IAmSkyDra/BARTBana_v1/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- bdf30faa09fd7f7586cf833d96a7b6734a64fcd2c729ba8f2e9f3a405147ae2b
- Size of remote file:
- 5.37 kB
- SHA256:
- 25e97401cbb4cf55dbea9a5c80352fa62caec3e4078bde6391c3c9d96de2b403
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.