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:
- 142609f0bf32481dfd6c96112e33db5d29b7babed9e1a33203aba52e6942fe8b
- Size of remote file:
- 2.24 GB
- SHA256:
- ca287c0dbd09f9416f1f4c3575e7af2631b4fb01d9566599f19b35ab23e2f5ac
路
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