Instructions to use Joshwabail/aspect_extractor_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joshwabail/aspect_extractor_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Joshwabail/aspect_extractor_distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Joshwabail/aspect_extractor_distilbert") model = AutoModelForTokenClassification.from_pretrained("Joshwabail/aspect_extractor_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (292e1ad4272aa967e7d472182a0b6242b921233f) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>a6ec39a
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