Instructions to use pcuenq/distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pcuenq/distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pcuenq/distilbert-base-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pcuenq/distilbert-base-uncased") model = AutoModel.from_pretrained("pcuenq/distilbert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Core ML conversion (#5)
- Add Core ML conversion (1aa71c9a888b20ed668fab0538409fe00972b34a)d399ebe -
Add Core ML conversion (#4)
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Add Core ML conversion (#2)
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Add Core ML conversion (#1)
- Add Core ML conversion (d69bbf2ece16d3bf1c7481e109ff1f17d280efb0)b3f931d