Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use at2507/finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use at2507/finetuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="at2507/finetuned_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("at2507/finetuned_model") model = AutoModelForSequenceClassification.from_pretrained("at2507/finetuned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Merge branch 'main' of https://huggingface.co/at2507/finetuned_model into main
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End of training
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/models/at2507/zeroshot_finetuned_sentiment
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initial commit
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