Instructions to use anjandash/JavaBERT-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjandash/JavaBERT-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjandash/JavaBERT-mini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjandash/JavaBERT-mini") model = AutoModelForSequenceClassification.from_pretrained("anjandash/JavaBERT-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from anjandash/JavaBERT-mini: direct link, hf CLI and curl.
- Browser
- Download file 82 Bytes
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https://huggingface.co/anjandash/JavaBERT-mini/resolve/main/README.md
- Command line
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hf download hf://anjandash/JavaBERT-mini/README.md
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curl -L -o README.md https://huggingface.co/anjandash/JavaBERT-mini/resolve/main/README.md
82 Bytes
metadata
language:
- code
license: mit
datasets:
- anjandash/java-8m-methods-v1