Instructions to use nnilayy/test-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nnilayy/test-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nnilayy/test-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nnilayy/test-3") model = AutoModelForSequenceClassification.from_pretrained("nnilayy/test-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nnilayy/test-3: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/nnilayy/test-3/resolve/main/training_args.bin
- Command line
-
hf download hf://nnilayy/test-3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nnilayy/test-3/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 8fb6fededdb480faa7b9b505f3db6cc56f5f05cdb8d57fec9e7c1822db8fad6b
- Size of remote file:
- 5.11 kB
- SHA256:
- 04583bad78b55d781e73e47355fa26e99416482442b59976c03013cf4f470595
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