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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9f2b306fad2774d0558f546853c1592483fe8c9937931985feacf2abfeb593d
- Size of remote file:
- 499 MB
- SHA256:
- 19bdbfd96086d0aad996faad9cccc33fa3a36db8cae35773ae63d18c6150412d
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