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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boltuix/bert-tinyplus") model = AutoModelForMaskedLM.from_pretrained("boltuix/bert-tinyplus") - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |