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:
- 91e45d8f9eb11edfcb4c64e36d6ac9a108a94ceee5a42eaa0ef825a455a760b0
- Size of remote file:
- 3.45 kB
- SHA256:
- df8d4b3b904349b1b5c70ae2835e9ede24d755e00229c6203576dba4cb663091
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