Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Anixyz/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anixyz/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anixyz/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anixyz/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("Anixyz/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 275eec46bffb6b98b68b58096d04b2c65d555e461a868fdac6382e32a2256ff2
- Size of remote file:
- 268 MB
- SHA256:
- 8d30860447b2eabe8af9207eda10e0454a36ab0e436d156ba4f3a0b031fdf865
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