Text Classification
Transformers
Safetensors
edlm
feature-extraction
decision-model
system-one
custom_code
Instructions to use nace-ai/drex-dlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nace-ai/drex-dlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nace-ai/drex-dlm", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nace-ai/drex-dlm", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download code/kev/__init__.py from nace-ai/drex-dlm: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/nace-ai/drex-dlm/resolve/main/code/kev/__init__.py
- Command line
-
hf download hf://nace-ai/drex-dlm/code/kev/__init__.py
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curl -L -o __init__.py https://huggingface.co/nace-ai/drex-dlm/resolve/main/code/kev/__init__.py
0 Bytes