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 training_args.bin from Ahmed007/BERT: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/Ahmed007/BERT/resolve/main/training_args.bin
- Command line
-
hf download hf://Ahmed007/BERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ahmed007/BERT/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- 3ddf0240be4d423db62712dfa23ac66863eca923374f979ff1eaa4fb14cae6c4
- Size of remote file:
- 3.31 kB
- SHA256:
- a9a245285b613994ad91c61c3ff622d1dd45757edad288952fa9fe682f40c461
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