Instructions to use KalaiselvanD/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/output") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr22_15-38-35_flycatch-Modern-15-B11M
- Apr22_15-42-47_flycatch-Modern-15-B11M
- Apr22_16-01-25_flycatch-Modern-15-B11M
- Apr22_16-36-07_flycatch-Modern-15-B11M
- Apr22_16-46-20_flycatch-Modern-15-B11M
- Apr22_16-58-58_flycatch-Modern-15-B11M
- Apr22_17-03-12_flycatch-Modern-15-B11M
- Apr22_17-10-32_flycatch-Modern-15-B11M
- Apr23_16-58-35_flycatch-Modern-15-B11M