Instructions to use lrycro/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lrycro/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lrycro/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lrycro/results") model = AutoModelForSequenceClassification.from_pretrained("lrycro/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lrycro/results: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/lrycro/results/resolve/main/training_args.bin
- Command line
-
hf download hf://lrycro/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lrycro/results/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 6fe96f7b0ef55fb0a15d5a3d09ad46ba9f83abd4022e9af150235002b7ae4074
- Size of remote file:
- 4.86 kB
- SHA256:
- 5de14c749f2e13fb606cc82bd39b3a2b38dcc1f6fc61a5308c8f27de574be69b
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