Instructions to use anjandash/finetuned-bert-java-cmpx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjandash/finetuned-bert-java-cmpx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjandash/finetuned-bert-java-cmpx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjandash/finetuned-bert-java-cmpx") model = AutoModelForSequenceClassification.from_pretrained("anjandash/finetuned-bert-java-cmpx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1033e4a730564cdcec2a78d4abe4f10de87971b184d9435aaabf8cc657a0da8
- Size of remote file:
- 438 MB
- SHA256:
- 775553d33f8f79bced9a337be4d30363368a049cea6694a5c6c5742e4053afd1
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