Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use VinitT/robert-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VinitT/robert-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VinitT/robert-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VinitT/robert-test") model = AutoModelForSequenceClassification.from_pretrained("VinitT/robert-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acc1ffec3af6e71a4d2531c09d3f61b30a300b794a873724317180011e87eb8b
- Size of remote file:
- 5.2 kB
- SHA256:
- f7505bd1cf8fb3a3f936af395d56d5b664b6911e7991a9f22ba5e4a37811a44e
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