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
Training in progress, epoch 1
Browse files
model.safetensors
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runs/Apr22_15-42-47_flycatch-Modern-15-B11M/events.out.tfevents.1713781579.flycatch-Modern-15-B11M.13252.3
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runs/Apr22_16-01-25_flycatch-Modern-15-B11M/events.out.tfevents.1713781887.flycatch-Modern-15-B11M.13818.0
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training_args.bin
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