Instructions to use mschwab/va_bert_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mschwab/va_bert_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mschwab/va_bert_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mschwab/va_bert_classification") model = AutoModelForSequenceClassification.from_pretrained("mschwab/va_bert_classification") - Notebooks
- Google Colab
- Kaggle
upload trainer args
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 sha256:2a8c3f2a4be0f8f1c403a1af40a7e6865f0f90ff684e9589dac5a9fbf3e265d3
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size 2287
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