Instructions to use mapo80/mmbert-small-aliasit-32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mapo80/mmbert-small-aliasit-32k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mapo80/mmbert-small-aliasit-32k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mapo80/mmbert-small-aliasit-32k") model = AutoModelForMaskedLM.from_pretrained("mapo80/mmbert-small-aliasit-32k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mapo80/mmbert-small-aliasit-32k: direct link, hf CLI and curl.
- Browser
- Download file 1.46 MB
-
https://huggingface.co/mapo80/mmbert-small-aliasit-32k/resolve/main/tokenizer.json
- Command line
-
hf download hf://mapo80/mmbert-small-aliasit-32k/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mapo80/mmbert-small-aliasit-32k/resolve/main/tokenizer.json
1.46 MB
File too large to display, you can check the raw version instead.