Instructions to use Koshti10/BART_large_Gameplan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Koshti10/BART_large_Gameplan with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Koshti10/BART_large_Gameplan") model = AutoModelForSeq2SeqLM.from_pretrained("Koshti10/BART_large_Gameplan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Koshti10/BART_large_Gameplan: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Koshti10/BART_large_Gameplan/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Koshti10/BART_large_Gameplan/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Koshti10/BART_large_Gameplan/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 978f9aa70ea28b6fe45a5db9c458993df3a550b66d24bd3be3402f60371af40a
- Size of remote file:
- 1.63 GB
- SHA256:
- ef0e7d46df36cffac136603753032a49ed703320e0ea14f8a71df9bdbdba3e7f
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