Instructions to use amidblue/mBertKE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amidblue/mBertKE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amidblue/mBertKE")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amidblue/mBertKE") model = AutoModelForMaskedLM.from_pretrained("amidblue/mBertKE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from amidblue/mBertKE: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/amidblue/mBertKE/resolve/main/tokenizer.json
- Command line
-
hf download hf://amidblue/mBertKE/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/amidblue/mBertKE/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.