Instructions to use jhu-clsp/mmBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhu-clsp/mmBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jhu-clsp/mmBERT-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jhu-clsp/mmBERT-small") model = AutoModelForMaskedLM.from_pretrained("jhu-clsp/mmBERT-small", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jhu-clsp/mmBERT-small: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/jhu-clsp/mmBERT-small/resolve/main/tokenizer.json
- Command line
-
hf download hf://jhu-clsp/mmBERT-small/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jhu-clsp/mmBERT-small/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 44816671aa47215d98d679ff7ffaf1673401ea52451faa11749ffbdf761d52ad
- Size of remote file:
- 17.5 MB
- SHA256:
- 197d4cc5406ee12cc50c8b5511f2393cc32d9db321545979ce041c1199178356
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