Text Classification
Transformers
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use lomov/autotrain-balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lomov/autotrain-balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lomov/autotrain-balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lomov/autotrain-balanced") model = AutoModelForSequenceClassification.from_pretrained("lomov/autotrain-balanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b3bb8d78508cf0f56125808ecdc19d837f5eb4c37162458ac8df4ecb5cecaf3
- Size of remote file:
- 4.92 kB
- SHA256:
- da2cd2fa725f9b813f714019139ef03706ffe1aeb3c4334e8c442b0c134f243a
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