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:
- 67e8f54b3a8f71a7894083499a391b5f343964dbffddeab9de70e8322dd83f8b
- Size of remote file:
- 499 MB
- SHA256:
- afd31bdb6b52fa3a82e6259fc884704e1df186b0c8fd5f15dec8ff648fd15b64
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