Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use melisa/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melisa/models-moved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="melisa/models-moved")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("melisa/models-moved") model = AutoModelForSequenceClassification.from_pretrained("melisa/models-moved") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de006ace5defda4bd0fcfbfbf85e4ad1ce499b52bdc3f3774738c0dd7ece0a58
- Size of remote file:
- 5.05 kB
- SHA256:
- 66cb5a78af80911d14b4e3b61b9517d22daeda5b31ebe74c453f865db7244839
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