Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
bloom
check-in-quality
fastapi
text-embeddings-inference
Instructions to use user6295018/checkin-quality-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use user6295018/checkin-quality-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="user6295018/checkin-quality-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("user6295018/checkin-quality-classifier") model = AutoModelForSequenceClassification.from_pretrained("user6295018/checkin-quality-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85b3a404ddbe289771504aa983c20fcbd4ee771bc7e714cc39cb1d7bc0fb324a
- Size of remote file:
- 536 MB
- SHA256:
- 46bf55684a5bf10155e4999386bf1fd2cfec8c3300650b3c4ec24200450a6fd7
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