Instructions to use bubai567/nifty-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bubai567/nifty-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bubai567/nifty-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bubai567/nifty-bert") model = AutoModelForSequenceClassification.from_pretrained("bubai567/nifty-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bubai567/nifty-bert: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/bubai567/nifty-bert/resolve/main/training_args.bin
- Command line
-
hf download hf://bubai567/nifty-bert/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/bubai567/nifty-bert/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 5d99a3bcb115636a173ca584ab49f233cb1084743e74a0a595610962f027bc0f
- Size of remote file:
- 4.03 kB
- SHA256:
- 2615e591f6a1b591ad3fa27e55bb1454cd63782f61c2e538bbf92b06292d1283
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