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 pytorch_model.bin from bubai567/nifty-bert: direct link, hf CLI and curl.
- Browser
- Download file 140 MB
-
https://huggingface.co/bubai567/nifty-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bubai567/nifty-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bubai567/nifty-bert/resolve/main/pytorch_model.bin
140 MB
- Xet hash:
- 68355636eb395cb991761662fc968c20fb12367b49ee4d6bd3755e1ce889a45e
- Size of remote file:
- 140 MB
- SHA256:
- c03a30af7cafd9d367ff3c37f0a917fe9319708d064f38a6a7029701fc7309b7
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