Instructions to use Ahmed007/BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed007/BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Ahmed007/BERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Ahmed007/BERT") model = AutoModelForMaskedLM.from_pretrained("Ahmed007/BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ahmed007/BERT: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Ahmed007/BERT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ahmed007/BERT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ahmed007/BERT/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 62511a6c12c33148549171d490b709fc7160da878ef4c16ae0333a8e3ab6c612
- Size of remote file:
- 438 MB
- SHA256:
- 2f68af2c32952b8ef848613a16daa1e31e821b9040acc9d939e3c536a77142f0
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