Text Classification
Transformers
PyTorch
TensorBoard
ONNX
Safetensors
English
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use usvsnsp/code-vs-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use usvsnsp/code-vs-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="usvsnsp/code-vs-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("usvsnsp/code-vs-nl") model = AutoModelForSequenceClassification.from_pretrained("usvsnsp/code-vs-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3bdd19881fe0edef11ca4e1fa0719e41d0d33aebd95061c6cb8c6670e6a612f
- Size of remote file:
- 268 MB
- SHA256:
- 9d4828c3df46690270dde4471c3d0b2483882bae44076aaf879231dcf2b0c004
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