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")# 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
- Xet hash:
- fd84c5ecbe3f83ac3e2c7f89bf191d9e2dadb8d32b554d2757ed903ce106727b
- Size of remote file:
- 623 Bytes
- SHA256:
- 44017bf2efe324f988668a411fe5cb0bc3c79dce3ffb98f210b9bb0c3b61a0ff
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