Instructions to use AIExplorer1234/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIExplorer1234/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIExplorer1234/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIExplorer1234/results") model = AutoModelForSequenceClassification.from_pretrained("AIExplorer1234/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AIExplorer1234/results: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/AIExplorer1234/results/resolve/main/training_args.bin
- Command line
-
hf download hf://AIExplorer1234/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AIExplorer1234/results/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 7c46203a03bf2895d712e1bf41e44406a81e78ad7ba3697edf8bbc27ba453356
- Size of remote file:
- 5.2 kB
- SHA256:
- a4dbd5559bfacd9353dee798ede9d7986347ae66c7fa4471e8ce4aa41d8513da
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