Instructions to use gyeoldere/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gyeoldere/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gyeoldere/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gyeoldere/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("gyeoldere/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gyeoldere/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/gyeoldere/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://gyeoldere/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gyeoldere/test_trainer/resolve/main/training_args.bin
3.52 kB
- Xet hash:
- ca520365543d52d2626a7f095c778171b83300e4d0eabc41ba58a5d1ba472a79
- Size of remote file:
- 3.52 kB
- SHA256:
- 96fb4ed7edc53f215ea86aad0585950eccd48eee32b8a4ecc6e42a0bb5bdf9de
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