Instructions to use 18811449050/bert_finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 18811449050/bert_finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="18811449050/bert_finetuning_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("18811449050/bert_finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("18811449050/bert_finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 339c851d8851c817d1a7456b5f39f1cb07ff5528f4204f0f37348a3f2a336d8f
- Size of remote file:
- 438 MB
- SHA256:
- 130a1b9f1dccf91deef952ed56764ccd8148764034ada01510fb72d99303c992
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