Instructions to use nicktien/TaipeiQA_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicktien/TaipeiQA_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nicktien/TaipeiQA_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nicktien/TaipeiQA_v1") model = AutoModelForSequenceClassification.from_pretrained("nicktien/TaipeiQA_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with git-lfs
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:c2afeb5b6a1d195c0efd342b715e92173d808c3eedb5367f20b0cec4856d7583
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size 3439
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