Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use NoCaptain/TESTING with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NoCaptain/TESTING with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NoCaptain/TESTING")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NoCaptain/TESTING") model = AutoModelForSequenceClassification.from_pretrained("NoCaptain/TESTING", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bdca98005d23542748bf266d45305fcd6c47241ed72d04898cf1e8e864051d3
- Size of remote file:
- 329 MB
- SHA256:
- 467176b8b91f6111190b9906dcdc1f1fee7b80b0c584b1e8a26bb75137069ab9
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