Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ThirdEyeData/Text_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThirdEyeData/Text_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThirdEyeData/Text_Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThirdEyeData/Text_Classification") model = AutoModelForSequenceClassification.from_pretrained("ThirdEyeData/Text_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model card README.md
d14cc19 -
Training in progress, epoch 2
c2b6073 -
Training in progress, epoch 1
6d50542 -
initial commit
1e3be9d