Instructions to use BioMike/cpuDEBERTa-edge-10000-joint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMike/cpuDEBERTa-edge-10000-joint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BioMike/cpuDEBERTa-edge-10000-joint")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BioMike/cpuDEBERTa-edge-10000-joint") model = AutoModel.from_pretrained("BioMike/cpuDEBERTa-edge-10000-joint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BioMike/cpuDEBERTa-edge-10000-joint: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/BioMike/cpuDEBERTa-edge-10000-joint/resolve/main/tokenizer.json
- Command line
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hf download hf://BioMike/cpuDEBERTa-edge-10000-joint/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/BioMike/cpuDEBERTa-edge-10000-joint/resolve/main/tokenizer.json
8.65 MB
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