Instructions to use Shadman-Rohan/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadman-Rohan/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shadman-Rohan/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/results") model = AutoModelForSequenceClassification.from_pretrained("Shadman-Rohan/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca707ecf951173a405385bef00a5b511cfd230ba59c57f6327fd58b079cda4d6
- Size of remote file:
- 2.99 kB
- SHA256:
- 9bc91624225f61b7a629b0a638f96f7c146a3bc84318cae184cb1216526a48cb
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