Text Classification
Transformers
PyTorch
TensorFlow
Rust
ONNX
Safetensors
English
distilbert
Eval Results (legacy)
Instructions to use intern-test-org/distilbert-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intern-test-org/distilbert-test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intern-test-org/distilbert-test-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intern-test-org/distilbert-test-model") model = AutoModelForSequenceClassification.from_pretrained("intern-test-org/distilbert-test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/tokenizer.json from intern-test-org/distilbert-test-model: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/intern-test-org/distilbert-test-model/resolve/main/onnx/tokenizer.json
- Command line
-
hf download hf://intern-test-org/distilbert-test-model/onnx/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/intern-test-org/distilbert-test-model/resolve/main/onnx/tokenizer.json
711 kB
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