Instructions to use YWZBrandon/google_t5-v1_1-large_ds100_upsample1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YWZBrandon/google_t5-v1_1-large_ds100_upsample1000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("YWZBrandon/google_t5-v1_1-large_ds100_upsample1000") model = AutoModelForSeq2SeqLM.from_pretrained("YWZBrandon/google_t5-v1_1-large_ds100_upsample1000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d4b3d09dc7b5dd79cc7d30fd0784f20630c5403bf0cb73b564b858c2b90d85a
- Size of remote file:
- 5.37 kB
- SHA256:
- f44a57468978cd51e95a6dcbccb3d038c415aff86a8c4e29f117ba99cb8fdb2b
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