Instructions to use typeof/distilbert_base_uncased_csabstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use typeof/distilbert_base_uncased_csabstruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="typeof/distilbert_base_uncased_csabstruct")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("typeof/distilbert_base_uncased_csabstruct") model = AutoModelForSequenceClassification.from_pretrained("typeof/distilbert_base_uncased_csabstruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 122 Bytes
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language: en
widget:
- text: But it suffers from its poor accuracy and scalability.
datasets:
- allenai/csabstruct
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