Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Tanor/Jerteh355SENTNEG2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanor/Jerteh355SENTNEG2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tanor/Jerteh355SENTNEG2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tanor/Jerteh355SENTNEG2") model = AutoModelForSequenceClassification.from_pretrained("Tanor/Jerteh355SENTNEG2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e24733da7afe8406ce23feac8cacc273edf876e7983a6e6bdf1c2263c9acb2db
- Size of remote file:
- 4.98 kB
- SHA256:
- acf94f83217d0d2216f3bdc9fee4d650d04ab05ecf5bd3bf0f043324b3371c4e
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