Instructions to use nnilayy/test-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nnilayy/test-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nnilayy/test-5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nnilayy/test-5") model = AutoModelForSequenceClassification.from_pretrained("nnilayy/test-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nnilayy/test-5: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/nnilayy/test-5/resolve/main/training_args.bin
- Command line
-
hf download hf://nnilayy/test-5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nnilayy/test-5/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 191f0bb08a036a5516bafca2fd6f81deb70b66c53ac6bf44df45b3734dbbf901
- Size of remote file:
- 5.18 kB
- SHA256:
- bdb4c3e4c3a5b4f0ed48fb9ee7594e5c9e6be79c023b663ef257fbfc40104880
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