Instructions to use fiveflow/flan-t5-base-sat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fiveflow/flan-t5-base-sat with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fiveflow/flan-t5-base-sat") model = AutoModelForSeq2SeqLM.from_pretrained("fiveflow/flan-t5-base-sat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95b4b39262dc5d461a8c5b818c5a0bd27b47ed926c67aa4f900ac0dc6885a067
- Size of remote file:
- 990 MB
- SHA256:
- 9f7575d8129897ffc88b0bd0ea5e90270206e43e1eb86db51cf6e55b384ddcbc
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