Instructions to use nelsonauner/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nelsonauner/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nelsonauner/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nelsonauner/results") model = AutoModelForSequenceClassification.from_pretrained("nelsonauner/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nelsonauner/results: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/nelsonauner/results/resolve/main/training_args.bin
- Command line
-
hf download hf://nelsonauner/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nelsonauner/results/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 55286f308c55f591246abe7bd8d202a06f20e4b5fbc02e34fc75f934c290aa25
- Size of remote file:
- 4.98 kB
- SHA256:
- b2e6ad0ce94c320f53bce1ae3173991b5e3e0d300b3d10c6ebe15c82d7129646
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