Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/roberta-base_LOGIC_Native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/roberta-base_LOGIC_Native with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/roberta-base_LOGIC_Native")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/roberta-base_LOGIC_Native") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/roberta-base_LOGIC_Native") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 125ec8bfd2cd2aec7f2ce1476bdf48c0686785505ecb38e9e36a24ac0961691b
- Size of remote file:
- 5.27 kB
- SHA256:
- 3332bd82bffe42a818be03810f3119cdc1d0d137785371a325f572511a5db7d2
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