Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Tanor/Jerteh355SENTNEG0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tanor/Jerteh355SENTNEG0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tanor/Jerteh355SENTNEG0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tanor/Jerteh355SENTNEG0") model = AutoModelForSequenceClassification.from_pretrained("Tanor/Jerteh355SENTNEG0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40660ce8a9d88cfe74fa6ebbf7c369dc8b111242a5dc331e3de77a8e41fa5045
- Size of remote file:
- 4.98 kB
- SHA256:
- 32f4f689e83f872e697789ca8a36b01f9b7069d3d1da9f1bb4ee0c6e013de268
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