Instructions to use nnilayy/test-7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nnilayy/test-7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nnilayy/test-7")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nnilayy/test-7") model = AutoModelForSequenceClassification.from_pretrained("nnilayy/test-7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nnilayy/test-7: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/nnilayy/test-7/resolve/main/training_args.bin
- Command line
-
hf download hf://nnilayy/test-7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nnilayy/test-7/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 0f36542834206b42c68aa4813a0f6923a951f5829dd8f2cd7c8001212bba61c6
- Size of remote file:
- 5.18 kB
- SHA256:
- 7280b7a2daf9d54e7431256818cf6dbd80bb493ae40e0d5741018f24f5d499f9
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