Instructions to use procit007/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use procit007/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="procit007/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("procit007/results") model = AutoModelForSequenceClassification.from_pretrained("procit007/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b1bcf03b61eef35d61a02426b5f95c4b5e33078a090a36275ba05d1087dfbff
- Size of remote file:
- 5.3 kB
- SHA256:
- 4ccee1e72635a75a677bbb32ca08bfc80249868607471cbcf503099a465ced52
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