Instructions to use dantedgp/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dantedgp/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dantedgp/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dantedgp/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("dantedgp/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dantedgp/test-trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/dantedgp/test-trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://dantedgp/test-trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dantedgp/test-trainer/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 564deb68bbfc65aa654c83313cb42c0d55372eb5ade6a149bc16b3a2953be4e4
- Size of remote file:
- 5.11 kB
- SHA256:
- 019c9537fb8f6e6b0155cbe265cad6f6847beb2daa3d6f08105b57e4c85123e9
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