Fill-Mask
Transformers
Safetensors
English
bert
BERT
MNLI
NLI
transformer
pre-training
NLP
MIT-NLP-v1
Instructions to use boltuix/bert-mid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boltuix/bert-mid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="boltuix/bert-mid")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boltuix/bert-mid") model = AutoModelForMaskedLM.from_pretrained("boltuix/bert-mid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8cc64e3e085cd2c5886d8a1c3c3b78a91ebe7606d2266f4d3afe8560dc5463f
- Size of remote file:
- 51.1 MB
- SHA256:
- 998aeaa7f23c652f8489196694ff6e5e47a3633afb9e6d608b0fc33b578ff0ec
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