Instructions to use dnnsdunca/droidlabs-Agentic-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnnsdunca/droidlabs-Agentic-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dnnsdunca/droidlabs-Agentic-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dnnsdunca/droidlabs-Agentic-bert") model = AutoModelForSequenceClassification.from_pretrained("dnnsdunca/droidlabs-Agentic-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from dnnsdunca/droidlabs-Agentic-bert: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/dnnsdunca/droidlabs-Agentic-bert/resolve/main/gitattributes
- Command line
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hf download hf://dnnsdunca/droidlabs-Agentic-bert/gitattributes
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curl -L -o gitattributes https://huggingface.co/dnnsdunca/droidlabs-Agentic-bert/resolve/main/gitattributes
391 Bytes
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