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 pytorch_model.bin from ai02/test2: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/ai02/test2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ai02/test2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ai02/test2/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- a244a3a95916e960e8bb430332452f2cf41cc4f7f04322e0994b7cc4d29ef594
- Size of remote file:
- 433 MB
- SHA256:
- 23bb61b8861904c6139458a8c8a902251fc52b7b38d955e4549f04b83a397462
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