Instructions to use eclec/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("eclec/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eclec/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/eclec/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://eclec/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eclec/test_trainer/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 062d266c9033ac537142371566f62f7ec458b57e0b527f25a68dcb1a508b794d
- Size of remote file:
- 4.86 kB
- SHA256:
- f00b7817af2658d242a38dfcf15be2d74a29e431f80133466dfee37241ad5414
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