Instructions to use jahb57/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jahb57/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jahb57/test_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jahb57/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("jahb57/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jahb57/test_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/jahb57/test_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://jahb57/test_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jahb57/test_trainer/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 4e6b0b2e97004ceff4e54b3505633ad7c1d18ce54d05389d01a3b222485c46c4
- Size of remote file:
- 4.54 kB
- SHA256:
- 1217acbe75fdd119d4d8e84ed31d613c7fff2a8100b42149e418f47472072518
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