Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use geraldamasi/classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geraldamasi/classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="geraldamasi/classification-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("geraldamasi/classification-model") model = AutoModelForSequenceClassification.from_pretrained("geraldamasi/classification-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b115cfed52aa8ac76101e6cc6a0b628a9b9f5e19dabb0916a404b73bfea378a
- Size of remote file:
- 5.78 kB
- SHA256:
- 7e702568ddde2d67655510b0a7ff2de8697bdd6f5eaab7e6c72db1f4f99afab9
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