Fill-Mask
Transformers
Safetensors
English
bert
BERT
MNLI
NLI
transformer
pre-training
NLP
MIT-NLP-v1
Instructions to use boltuix/bert-tinyplus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boltuix/bert-tinyplus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="boltuix/bert-tinyplus")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boltuix/bert-tinyplus") model = AutoModelForMaskedLM.from_pretrained("boltuix/bert-tinyplus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from boltuix/bert-tinyplus: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/boltuix/bert-tinyplus/resolve/main/tokenizer.json
- Command line
-
hf download hf://boltuix/bert-tinyplus/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/boltuix/bert-tinyplus/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.