Instructions to use vaalto/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vaalto/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vaalto/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vaalto/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("vaalto/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vaalto/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/vaalto/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://vaalto/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vaalto/test_trainer/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- f7ba4f621edba33ce18d65ad3714c0f51e6b7acbe75d6653c6522771d3e1b56b
- Size of remote file:
- 4.03 kB
- SHA256:
- 523d293caff62ac9b4a87648b09c76a9ef1fb64ee7deb35f114f4ff090323572
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