Instructions to use alvinwatner/bart-qg-alpha-interro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvinwatner/bart-qg-alpha-interro with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alvinwatner/bart-qg-alpha-interro") model = AutoModelForSeq2SeqLM.from_pretrained("alvinwatner/bart-qg-alpha-interro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from alvinwatner/bart-qg-alpha-interro: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/alvinwatner/bart-qg-alpha-interro/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://alvinwatner/bart-qg-alpha-interro/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/alvinwatner/bart-qg-alpha-interro/resolve/main/flax_model.msgpack
558 MB
- Xet hash:
- ba23e8d71e0b1c77ae3cabc9bcdf104f7a8e7b20a030d5a132fa4cf2e8bfde86
- Size of remote file:
- 558 MB
- SHA256:
- 0aef3caca1ccf1f45e51d4a1cce55b11c9a6965baa1f2730e503ace58d7a5847
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