Instructions to use Jillian/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jillian/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jillian/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jillian/results") model = AutoModelForSequenceClassification.from_pretrained("Jillian/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Jillian/results: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Jillian/results/resolve/main/training_args.bin
- Command line
-
hf download hf://Jillian/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jillian/results/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 3f6f80ca7f276278523e026a026df2ece56cfb46df775bbd83d8205c1f914c75
- Size of remote file:
- 5.3 kB
- SHA256:
- 5abb82990de25a7d39005b82203e34ef42cd364ce1372a85ba740f0f0a9f7d3c
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