Instructions to use dewifaj/text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dewifaj/text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dewifaj/text-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dewifaj/text-classification") model = AutoModelForSequenceClassification.from_pretrained("dewifaj/text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dewifaj/text-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/dewifaj/text-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://dewifaj/text-classification/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/dewifaj/text-classification/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 9090d3dadde22a97f2bc13a494767866ea341dc99baecd4f34891968d798e69c
- Size of remote file:
- 5.05 kB
- SHA256:
- 5626c37deabf0fc4d141f30ec5ac6f25a4f7dd6b6a3a4011dc7bf3e567060d20
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