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 optimizer.pt from CodeNinja1126/test-model: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/CodeNinja1126/test-model/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://CodeNinja1126/test-model@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CodeNinja1126/test-model/resolve/refs%2Fpr%2F1/optimizer.pt
1.42 GB
- Xet hash:
- e11f4a1d6c010abc0342dab994f6f3d90aca60cc44f6359ef2f0504f1cef2bc7
- Size of remote file:
- 1.42 GB
- SHA256:
- 9fd383ef3a6ef0fd2c3465b736b4ba1b9b3def4dcb640173dd66fbe8f986c873
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