Instructions to use hf-tiny-model-private/tiny-random-BigBirdPegasusForConditionalGeneration 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-BigBirdPegasusForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49c27f9cd353df85bd7f4f07b7de1a7fdc2e6ebd1f271a8b8cdeb53f0e62ca15
- Size of remote file:
- 12.9 MB
- SHA256:
- 1edd2bd4f2ee7f79e0aeaf0773f129a5ed25c90bb99cd97c9b2b960061282d1b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.