Fill-Mask
Transformers
Safetensors
English
bert
BERT
MNLI
NLI
transformer
pre-training
NLP
MIT-NLP-v1
Instructions to use boltuix/bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boltuix/bert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="boltuix/bert-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("boltuix/bert-small") model = AutoModelForMaskedLM.from_pretrained("boltuix/bert-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from boltuix/bert-small: direct link, hf CLI and curl.
- Browser
- Download file 44.8 MB
-
https://huggingface.co/boltuix/bert-small/resolve/main/model.safetensors
- Command line
-
hf download hf://boltuix/bert-small/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/boltuix/bert-small/resolve/main/model.safetensors
44.8 MB
- Xet hash:
- 35162d0cbb88918bcc95eee7bc9821f43e906634760f09785ed020e4fe6c8dd1
- Size of remote file:
- 44.8 MB
- SHA256:
- 4c823bb9c64514d8cc3ac344fcbfa6bb56f3aafb77ef1c39bc10da63bde3b310
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