Instructions to use chenqian/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chenqian/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chenqian/bert_finetuning_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chenqian/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("chenqian/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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upload flax model
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allow flax
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Update vocab.txt
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Update eval_results.txt
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Update special_tokens_map.json
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Update tokenizer_config.json
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Update config.json
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Update training_args.bin
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initial commit
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