Instructions to use NTUYG/SOTitle-csharp-BART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTUYG/SOTitle-csharp-BART with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NTUYG/SOTitle-csharp-BART") model = AutoModelForSeq2SeqLM.from_pretrained("NTUYG/SOTitle-csharp-BART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from NTUYG/SOTitle-csharp-BART: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/NTUYG/SOTitle-csharp-BART/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://NTUYG/SOTitle-csharp-BART/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/NTUYG/SOTitle-csharp-BART/resolve/main/flax_model.msgpack
1.63 GB
- Xet hash:
- 81a18fee08beac3c6f8183948197b3d27941f92b0b9c6ded5e3982132bc4aba9
- Size of remote file:
- 1.63 GB
- SHA256:
- 78d55c26a8d7f74dbe0c9ab950aa5c0ccb517230788504ad0d6b1a39b889f0e5
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