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
Ctrl+K
- May23_13-27-19_c0cc1b985084
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- May23_14-12-12_c0cc1b985084
- May23_15-00-53_ef5348fc3e0b
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- May23_16-36-04_740e469dc0ec
- May23_17-00-36_740e469dc0ec
- May23_17-09-48_740e469dc0ec
- May23_17-24-03_2d4699c31657
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- May23_17-46-51_2d4699c31657
- May23_17-47-13_2d4699c31657
- May23_17-52-50_2d4699c31657