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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ramkrish120595/debug_seq2seq_squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ramkrish120595/debug_seq2seq_squad") model = AutoModelForQuestionAnswering.from_pretrained("ramkrish120595/debug_seq2seq_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from ramkrish120595/debug_seq2seq_squad: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
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https://huggingface.co/ramkrish120595/debug_seq2seq_squad/resolve/main/.gitignore
- Command line
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hf download hf://ramkrish120595/debug_seq2seq_squad/.gitignore
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curl -L -o .gitignore https://huggingface.co/ramkrish120595/debug_seq2seq_squad/resolve/main/.gitignore
13 Bytes
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