Instructions to use egomal/training_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egomal/training_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="egomal/training_output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("egomal/training_output") model = AutoModelForSequenceClassification.from_pretrained("egomal/training_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from egomal/training_output: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/egomal/training_output/resolve/main/training_args.bin
- Command line
-
hf download hf://egomal/training_output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/egomal/training_output/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 6822b0b37419adcd8b93802ede06d84da679a61ace39c62de1ad033a109c9ac5
- Size of remote file:
- 4.54 kB
- SHA256:
- 37b7925ea30c927cf05e1e6b7be747eae7192136e40f7244f630c54dd46f525c
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