Instructions to use CodeNinja1126/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeNinja1126/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CodeNinja1126/test-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CodeNinja1126/test-model") model = AutoModelForSequenceClassification.from_pretrained("CodeNinja1126/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CodeNinja1126/test-model: direct link, hf CLI and curl.
- Browser
- Download file 2.29 kB
-
https://huggingface.co/CodeNinja1126/test-model/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://CodeNinja1126/test-model@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CodeNinja1126/test-model/resolve/refs%2Fpr%2F1/training_args.bin
2.29 kB
- Xet hash:
- c6c5ab1e6104b8e2cf68da7024f529b4112e10729706026ea69f6fb0d0d4bb1b
- Size of remote file:
- 2.29 kB
- SHA256:
- f0dd4ac53c9fbcc673a15a1d678b47fea175ddb9236ae3c5708465393da2332d
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