Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Elisalaegsgaard/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elisalaegsgaard/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elisalaegsgaard/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elisalaegsgaard/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("Elisalaegsgaard/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09e62b197e8d27b673a01899711aed7c47d233cd5b34b67bb34d9fa1639fc8f1
- Size of remote file:
- 268 MB
- SHA256:
- 9d3af1e8fc2f0b1ef287716397b05d0b3fc9b5c94db35585d02eb240dd92efa3
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