Instructions to use KalaiselvanD/model_albert_5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/model_albert_5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/model_albert_5000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/model_albert_5000") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/model_albert_5000") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 10
Browse files
model.safetensors
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runs/Apr18_07-48-25_31ae40229384/events.out.tfevents.1713426505.31ae40229384.349.3
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