Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use nzm97/roberta_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nzm97/roberta_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nzm97/roberta_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nzm97/roberta_classification") model = AutoModelForSequenceClassification.from_pretrained("nzm97/roberta_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cd1bfc5cf21dfffd9852ba70fe2f6290ef54be572a411bb68dd9a0075c56fdb
- Size of remote file:
- 4.6 kB
- SHA256:
- f05926a59262c4d1866c2c2a016a60fb0f4e21486d1d7b05c99d57e639dced5a
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