Instructions to use sureshkm/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sureshkm/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sureshkm/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sureshkm/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("sureshkm/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sureshkm/test-trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/sureshkm/test-trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://sureshkm/test-trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sureshkm/test-trainer/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 6f300ce36d73ba3a6f27dd09b40bda3bc1802c075984a1c3b05e39ff2a3c0544
- Size of remote file:
- 4.98 kB
- SHA256:
- 4eff4a9515f149d13c211ffe31b16e0fdb2f85bb02ce382e714f87975201b4c3
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