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:
- 42f758d841c9ff730cd476a496fe074d88a0525f2f8c92b865308368dbbd0991
- Size of remote file:
- 3.13 GB
- SHA256:
- de35ffcc0e3fdb0c8af932b7490cfe9059bbc7f2965eb735743c39f9b03e8ac8
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