Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Peachman/trainer-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peachman/trainer-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Peachman/trainer-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Peachman/trainer-chapter4") model = AutoModelForSequenceClassification.from_pretrained("Peachman/trainer-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bd97843c334869b5543ea97a7f4039966e48505fbaba4f82400421563d403a1
- Size of remote file:
- 4.86 kB
- SHA256:
- 91149ee7e89e9d90af881c353e834cb893f9a1caecc68523c7df43460a979efd
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