Instructions to use sguskin/tinybert_6L_768D_squad1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sguskin/tinybert_6L_768D_squad1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sguskin/tinybert_6L_768D_squad1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sguskin/tinybert_6L_768D_squad1") model = AutoModelForQuestionAnswering.from_pretrained("sguskin/tinybert_6L_768D_squad1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae7651a1e22eae8f69529ccc75591270d46b374f3740af700a869eef4874b434
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size 2543
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