Instructions to use devdz/endpoint_flant5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devdz/endpoint_flant5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devdz/endpoint_flant5") model = AutoModelForSeq2SeqLM.from_pretrained("devdz/endpoint_flant5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f3ee5eec2d076b05a4f01d112cb59082e9e1ee9945aa8ab4424bc215695c854
- Size of remote file:
- 990 MB
- SHA256:
- 197b346658905cda50c1a71fe0eb77a4d79306adaeb5d7a3c0e9208c91022d45
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