Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Kamer/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kamer/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kamer/model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kamer/model") model = AutoModelForSequenceClassification.from_pretrained("Kamer/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f14d102fc946c1084b9ca619f35a98904609d6c34712623d81828b9722ec196
- Size of remote file:
- 268 MB
- SHA256:
- 8f6cb82f05b41ff25752faf4fbd6f1e814a3f8971b098452d72fe94305826fcc
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