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:
- d31f4fe413e20db6dba102a6901edaa4a50c09660e03f0d72b99349fed01d0e4
- Size of remote file:
- 268 MB
- SHA256:
- f99c809e3bc1167686f541f7aaaffcb7543277aab08b90ca8b02fed6632dca11
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