Instructions to use Queensly/finetuned_distilbert_base_uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Queensly/finetuned_distilbert_base_uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Queensly/finetuned_distilbert_base_uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Queensly/finetuned_distilbert_base_uncased") model = AutoModelForSequenceClassification.from_pretrained("Queensly/finetuned_distilbert_base_uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Queensly/finetuned_distilbert_base_uncased: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/Queensly/finetuned_distilbert_base_uncased/resolve/main/tokenizer.json
- Command line
-
hf download hf://Queensly/finetuned_distilbert_base_uncased/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Queensly/finetuned_distilbert_base_uncased/resolve/main/tokenizer.json
712 kB
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