Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/roberta-base_LOGIC_LRTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/roberta-base_LOGIC_LRTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/roberta-base_LOGIC_LRTC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/roberta-base_LOGIC_LRTC") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/roberta-base_LOGIC_LRTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6536df76653d0c08dec0c9b1281b74b3144a0cfb215c61528594f08c5d5762ca
- Size of remote file:
- 5.27 kB
- SHA256:
- 8146cd31e4ac44954c5d0ee9317b432faa5201b0c316f1121384dde92de042ed
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