Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Falah/sentiments-dataset-381-classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/sentiments-dataset-381-classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falah/sentiments-dataset-381-classes")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Falah/sentiments-dataset-381-classes") model = AutoModelForSequenceClassification.from_pretrained("Falah/sentiments-dataset-381-classes") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 60
Browse files
pytorch_model.bin
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runs/Jul05_13-21-50_d700f318ddcf/events.out.tfevents.1688563315.d700f318ddcf.11802.6
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