Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pcuenq/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pcuenq/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pcuenq/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pcuenq/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("pcuenq/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c836fa635610500480f68161cb996bf409f3f6596e0f5ecd2a654eed2f458632
- Size of remote file:
- 5.18 kB
- SHA256:
- 8c52f4cb20a1475ea9dffd95cf282fe392e99739682e170052d7acb83f015af5
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