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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boltuix/bert-mid") model = AutoModelForMaskedLM.from_pretrained("boltuix/bert-mid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from boltuix/bert-mid: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
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https://huggingface.co/boltuix/bert-mid/resolve/d009a3fd6eb8a85995fccafc0a04146c5dcfb949/README.md
- Command line
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hf download hf://boltuix/bert-mid@d009a3fd6eb8a85995fccafc0a04146c5dcfb949/README.md
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curl -L -o README.md https://huggingface.co/boltuix/bert-mid/resolve/d009a3fd6eb8a85995fccafc0a04146c5dcfb949/README.md
24 Bytes
metadata
license: mit