Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use MatyLO/sequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatyLO/sequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MatyLO/sequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MatyLO/sequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("MatyLO/sequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e08a9f79260d91588ceaee2398af0cf55f09f85c4e3ee6eeecf947ae699f0916
- Size of remote file:
- 268 MB
- SHA256:
- be55ee615ab87ec5aca5aac0d9b6449c11c75968522b0493e779368e018a9382
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