Instructions to use rooftopcoder/led-base-16384-tldr-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/led-base-16384-tldr-test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/led-base-16384-tldr-test") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/led-base-16384-tldr-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93769459dbfbf5a28d5e344866b72534234144a4ad891fa179f9f4e89f9259be
- Size of remote file:
- 3.64 kB
- SHA256:
- be1b20712b342bbdf5bcaf30f0da424cce3e2fb763513046de5f4c1b5e8f78cb
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