Instructions to use ramkrish120595/debug_seq2seq_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramkrish120595/debug_seq2seq_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ramkrish120595/debug_seq2seq_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ramkrish120595/debug_seq2seq_squad") model = AutoModelForQuestionAnswering.from_pretrained("ramkrish120595/debug_seq2seq_squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a1c45dfad0c99c40ad183926a7c86b224adf20aa76782cc84e3b2ec92e33ff5
- Size of remote file:
- 14.5 MB
- SHA256:
- 524b175a100e5a52b0cc6590fc43c05092458363cc576ac7717c17efc2410af3
路
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