Instructions to use jonathanbb/ndaclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanbb/ndaclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonathanbb/ndaclassifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonathanbb/ndaclassifier") model = AutoModelForSequenceClassification.from_pretrained("jonathanbb/ndaclassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jonathanbb/ndaclassifier: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/jonathanbb/ndaclassifier/resolve/main/training_args.bin
- Command line
-
hf download hf://jonathanbb/ndaclassifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jonathanbb/ndaclassifier/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- fa6c2ca6905237ef0403e429aaac5ece42e400aa10b1dbe34faf38dbb8817583
- Size of remote file:
- 4.28 kB
- SHA256:
- 15c6b019d0302197ecc90c38de9bf62011997bfc1575b6e8a9bef82b858f6631
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