Instructions to use hf-tiny-model-private/tiny-random-BartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BartForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67a51b038b86d2305450d1e02c2121b14a99c662333d770fe1c1f951d5e4dd34
- Size of remote file:
- 122 kB
- SHA256:
- 0606404b03bcf7a041602cf426bb762b7784157748e55a235c7961c3845cce3c
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