Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Hemg/twitter-sentiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/twitter-sentiments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hemg/twitter-sentiments")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hemg/twitter-sentiments") model = AutoModelForSequenceClassification.from_pretrained("Hemg/twitter-sentiments") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
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runs/May23_15-56-47_ef5348fc3e0b/events.out.tfevents.1716479808.ef5348fc3e0b.34.7
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runs/May23_15-57-22_ef5348fc3e0b/events.out.tfevents.1716479843.ef5348fc3e0b.34.8
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training_args.bin
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