Instructions to use hf-tiny-model-private/tiny-random-LongT5ForConditionalGeneration 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-LongT5ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LongT5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-LongT5ForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
6b5e4bc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9a3240a61b9aa39ec314c3f1d52a166000b8c289da5c6500c6d4a5eca6244ccb
size 4465368
|