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 scheduler.pt from CodeNinja1126/test-model: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/CodeNinja1126/test-model/resolve/main/scheduler.pt
- Command line
-
hf download hf://CodeNinja1126/test-model/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/CodeNinja1126/test-model/resolve/main/scheduler.pt
559 Bytes
- Xet hash:
- c2719b157e0e8178cb85265a5eb8443b158ad5366daffbee5f65058cbab30309
- Size of remote file:
- 559 Bytes
- SHA256:
- a864503c515100ad6e1db9fd2edf5f6ed5585e7801426a37353d2ebcdc7ba897
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