Instructions to use Neroism8422/Text_Classification_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neroism8422/Text_Classification_1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Neroism8422/Text_Classification_1000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Neroism8422/Text_Classification_1000") model = AutoModelForSequenceClassification.from_pretrained("Neroism8422/Text_Classification_1000") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
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runs/Jun08_14-52-09_DESKTOP-B8B0NSG/events.out.tfevents.1717829530.DESKTOP-B8B0NSG.30288.0
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