Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DPhO05/my-roberta-RQ3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DPhO05/my-roberta-RQ3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DPhO05/my-roberta-RQ3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DPhO05/my-roberta-RQ3") model = AutoModelForSequenceClassification.from_pretrained("DPhO05/my-roberta-RQ3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65de777ef6b3b63adb96b2896d1ce2daeb6094c839d744476481dfe86dfa3080
- Size of remote file:
- 5.27 kB
- SHA256:
- b87271907cec752c361c1652af90f44791abfa5fec0db808085777f1ba272f4e
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