Text Classification
Transformers
Safetensors
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use valurank/distilroberta-topic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valurank/distilroberta-topic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="valurank/distilroberta-topic-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valurank/distilroberta-topic-classification") model = AutoModelForSequenceClassification.from_pretrained("valurank/distilroberta-topic-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37b41da0d49bc23c38d58ac903d2277efc632b66c1a47839f9fd0cc824340875
- Size of remote file:
- 4.6 kB
- SHA256:
- 4ae365dafef0b7f27a20ea1295e368d30c2b8bc2d477ac3a357f44678ae6ac15
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