Instructions to use asifraza/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asifraza/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asifraza/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asifraza/results") model = AutoModelForSequenceClassification.from_pretrained("asifraza/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from asifraza/results: direct link, hf CLI and curl.
- Browser
- Download file 3.32 kB
-
https://huggingface.co/asifraza/results/resolve/main/training_args.bin
- Command line
-
hf download hf://asifraza/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/asifraza/results/resolve/main/training_args.bin
3.32 kB
- Xet hash:
- 55250cbc234166b1d8cf1ca6da3f7950f8fa31155d0a7b379ebcff7834720505
- Size of remote file:
- 3.32 kB
- SHA256:
- 7a5bfa2ed264c7f3db0fe079b7e4c18cc686fd43e72ae21dbed18cb4d4769293
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