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:
- 7ee2f651724530a774c991388641ed3f063f6418fee40055d5823ef51caf4609
- Size of remote file:
- 268 MB
- SHA256:
- 4201a7c5039119cc0b9b25859f4b50ee473d31a750428292ee58ab248b1710b7
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