Instructions to use dill-lab/oath-frames-flant5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dill-lab/oath-frames-flant5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dill-lab/oath-frames-flant5-large") model = AutoModelForSeq2SeqLM.from_pretrained("dill-lab/oath-frames-flant5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fad6bed2f3174ce473d835e1e6d0f1b885c2b8c197a0af751eb699e33dad4f37
- Size of remote file:
- 5.44 kB
- SHA256:
- e5f55b17e0e799e699b9d36fdffaf73fb0d9d44f01cf744be4ea6916eb42552f
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