Instructions to use Splend1dchan/canine-s-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Splend1dchan/canine-s-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="Splend1dchan/canine-s-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Splend1dchan/canine-s-squad") model = AutoModelForQuestionAnswering.from_pretrained("Splend1dchan/canine-s-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): d0c38c4
Update README.md
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README.md
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python run_squad.py
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--model_name_or_path google/canine-
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--do_train
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--do_eval
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--per_gpu_train_batch_size 1
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--max_seq_length 1024
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--doc_stride 128
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--max_answer_length 240
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--output_dir canine-
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--model_type bert
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{
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python run_squad.py
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--model_name_or_path google/canine-s
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--do_train
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--do_eval
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--per_gpu_train_batch_size 1
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--max_seq_length 1024
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--doc_stride 128
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--max_answer_length 240
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--output_dir canine-s-squad
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--model_type bert
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{
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