Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use marialhansen/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marialhansen/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marialhansen/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marialhansen/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("marialhansen/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18271ed66034abe3ac0649129af2bc2bc7d6e5aa991ee66a48630f9d91cbe96a
- Size of remote file:
- 268 MB
- SHA256:
- 7d723ceb0541c0d015bfd551c949c8ce08c3ad0c1af2742b8eeef04382061c47
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