Instructions to use KalaiselvanD/albert_model__30_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/albert_model__30_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/albert_model__30_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/albert_model__30_1") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/albert_model__30_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
model.safetensors
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runs/Apr30_04-12-14_3620eac04e92/events.out.tfevents.1714450335.3620eac04e92.166.1
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