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 pytorch_model.bin from CodeNinja1126/test-model: direct link, hf CLI and curl.
- Browser
- Download file 712 MB
-
https://huggingface.co/CodeNinja1126/test-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://CodeNinja1126/test-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CodeNinja1126/test-model/resolve/main/pytorch_model.bin
712 MB
- Xet hash:
- d838b2a46d3c403ec2b4fe810d5847251eb1265458004c8c876c1479aee6f92c
- Size of remote file:
- 712 MB
- SHA256:
- 394cbefa666a7d0ebf447165a0e4236e0b8c59f1ca222f998a1effe42426f42a
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