Instructions to use anjandash/JavaBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjandash/JavaBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjandash/JavaBERT-small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjandash/JavaBERT-small") model = AutoModelForSequenceClassification.from_pretrained("anjandash/JavaBERT-small") - Notebooks
- Google Colab
- Kaggle
| from transformers import TFAutoModelForSequenceClassification | |
| checkpoint_path = "/Users/anjandash/Desktop/HF_MODELS/JavaBERT-small" | |
| tf_model = TFAutoModelForSequenceClassification.from_pretrained(checkpoint_path, from_pt=True) | |
| tf_model.save_pretrained(checkpoint_path) | |