Instructions to use anjandash/finetuned-bert-java-cmpx-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjandash/finetuned-bert-java-cmpx-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjandash/finetuned-bert-java-cmpx-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjandash/finetuned-bert-java-cmpx-v1") model = AutoModelForSequenceClassification.from_pretrained("anjandash/finetuned-bert-java-cmpx-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bb1bb5db09a02f36fd009c486f69fb497f0913a1f4f197cefa9e6e4fbd8fe43
- Size of remote file:
- 438 MB
- SHA256:
- 1d8392f96a873fd2e6c70632644b4b8d36bfe75565524d6567baff88b48b6edf
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