Instructions to use alphaedge-ai/mmBERT-small-hrv-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/mmBERT-small-hrv-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alphaedge-ai/mmBERT-small-hrv-16384")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alphaedge-ai/mmBERT-small-hrv-16384") model = AutoModel.from_pretrained("alphaedge-ai/mmBERT-small-hrv-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alphaedge-ai/mmBERT-small-hrv-16384: direct link, hf CLI and curl.
- Browser
- Download file 2.05 MB
-
https://huggingface.co/alphaedge-ai/mmBERT-small-hrv-16384/resolve/main/tokenizer.json
- Command line
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hf download hf://alphaedge-ai/mmBERT-small-hrv-16384/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/alphaedge-ai/mmBERT-small-hrv-16384/resolve/main/tokenizer.json
2.05 MB
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