Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Arthemix/finetuning-sentiment-model-3000-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthemix/finetuning-sentiment-model-3000-sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Arthemix/finetuning-sentiment-model-3000-sample")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Arthemix/finetuning-sentiment-model-3000-sample") model = AutoModelForSequenceClassification.from_pretrained("Arthemix/finetuning-sentiment-model-3000-sample", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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Training in progress, epoch 2
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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