Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use ElMad/clean-chimp-516 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/clean-chimp-516 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/clean-chimp-516")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/clean-chimp-516") model = AutoModelForSequenceClassification.from_pretrained("ElMad/clean-chimp-516", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34e4a264ab9ddd983e3f0c2db416acaba45b4a519d159315064e4f48ee8fc0d8
- Size of remote file:
- 5.5 kB
- SHA256:
- a359c4ead5e09b0ab0ba64bcfc09dbbb83b17fc48ef1c080d7520633152c5108
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