Instructions to use kamikaze-t/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamikaze-t/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kamikaze-t/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamikaze-t/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("kamikaze-t/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kamikaze-t/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/kamikaze-t/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://kamikaze-t/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kamikaze-t/test_trainer/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 835336bc25e107d2823cf5688bd48965feb8266bdbe2dc1c21ffd5ac0221c003
- Size of remote file:
- 5.11 kB
- SHA256:
- 1f66f591033b4528baffdaf8abe1209db3d0657c83c516e88805c56e177bbb8c
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