Instructions to use ai02/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ai02/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ai02/test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ai02/test2") model = AutoModelForSequenceClassification.from_pretrained("ai02/test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ai02/test2: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ai02/test2/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://ai02/test2@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ai02/test2/resolve/refs%2Fpr%2F1/training_args.bin
3.96 kB
- Xet hash:
- 42e08be385a75dfeb1e9ffbc6a91a38e179f8c087f044a9eb8b32354c28c1342
- Size of remote file:
- 3.96 kB
- SHA256:
- 608b735c59f507f2f083248a03eeb725ae7e2eb79356b9365b46c708aa2214ad
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