Instructions to use C-Stuti/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use C-Stuti/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="C-Stuti/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("C-Stuti/output") model = AutoModelForSequenceClassification.from_pretrained("C-Stuti/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b0d0c4f1c6662994dae82a7b7af200363a41e160043c2d0ba8a83cd872ea6d4
- Size of remote file:
- 4.22 kB
- SHA256:
- c45b306b3826b810461f9faa6f05db7ef28855b121ee9e6693c984e8a7cabaea
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