Instructions to use Extrabass/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Extrabass/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Extrabass/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Extrabass/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("Extrabass/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Extrabass/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/Extrabass/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://Extrabass/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Extrabass/test_trainer/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- a402e74bd9b9b91b68a15f161a9edb1a9387d730ebfc1c3605accf521bec03c2
- Size of remote file:
- 4.66 kB
- SHA256:
- ed7dbae3393616447c4ede86772151f86d992c086c6a707c7699957f508b8fc4
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