Instructions to use dill-lab/oath-frames-flant5-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dill-lab/oath-frames-flant5-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dill-lab/oath-frames-flant5-xl") model = AutoModelForSeq2SeqLM.from_pretrained("dill-lab/oath-frames-flant5-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9e2b3ac7e6a52e711db401ee173685a9a2eb1cdb65a44371edd66122a85c0c1
- Size of remote file:
- 11.4 GB
- SHA256:
- 3082dc48d46956addb5ccabde96785d258b4a5aa7cb8e0041bc0f9de50396510
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