Instructions to use scott156/LEDBaseNSPCCV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scott156/LEDBaseNSPCCV1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("scott156/LEDBaseNSPCCV1") model = AutoModelForSeq2SeqLM.from_pretrained("scott156/LEDBaseNSPCCV1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f636f2086f616be90b4601348aac1439610075b30f7076f7afd0f60dd3efba42
- Size of remote file:
- 648 MB
- SHA256:
- 4af5b976cf0b05e230c89510a1518a3e21186acc79a0eef32127c8037cbda598
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