Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use frett/distilroberta-base_task2-2_macrof1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/distilroberta-base_task2-2_macrof1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="frett/distilroberta-base_task2-2_macrof1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("frett/distilroberta-base_task2-2_macrof1") model = AutoModelForSequenceClassification.from_pretrained("frett/distilroberta-base_task2-2_macrof1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ccc2863c125e24af12a16d59d419195ba1103a476020c0ab38c97e704b12672
- Size of remote file:
- 5.18 kB
- SHA256:
- 6112d04e2e794714a605be590c20b22e5f715836e21ab7256b8d59d48983a3c2
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