Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use isanchez/text-comp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isanchez/text-comp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="isanchez/text-comp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("isanchez/text-comp") model = AutoModelForSequenceClassification.from_pretrained("isanchez/text-comp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cabb40b07896afc7d6d6af0f929190dbfc41704b2653a25fd9917ba04d6eb0b
- Size of remote file:
- 4.03 kB
- SHA256:
- 2c16f9b8d86c6e6e813f4190e32a03e56c4533c509d80581722f7ff9810ca4f6
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