Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AdrienB134/greetings-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdrienB134/greetings-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AdrienB134/greetings-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AdrienB134/greetings-classifier") model = AutoModelForSequenceClassification.from_pretrained("AdrienB134/greetings-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42149bb3175821b8738d8a3479c6d5b7477cd6143b342f74d0ed8db5e25ae7a4
- Size of remote file:
- 5.3 kB
- SHA256:
- b6df7450581279e309afe9873e71628bd5099b8b7fe8ffe1b3c6b1ea03bdbae1
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