Instructions to use taskload/reduce-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taskload/reduce-bart with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taskload/reduce-bart") model = AutoModelForSeq2SeqLM.from_pretrained("taskload/reduce-bart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c3ef8af8313fd5b075a74ec9a3f50d5dca43fad8a0b4fed26391ea8661208c8
- Size of remote file:
- 1.63 GB
- SHA256:
- 2c24b42be662e7a881498de6361f4ea9371d58f78f5af0ad51722e30e2eac04c
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