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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pcuenq/distilbert-base-uncased") model = AutoModel.from_pretrained("pcuenq/distilbert-base-uncased") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#22 opened almost 3 years ago
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SFconvertbot
Add Core ML conversion
#21 opened about 3 years ago
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pcuenq
Add Core ML conversion
#20 opened about 3 years ago
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pcuenq
Add Core ML conversion
#19 opened about 3 years ago
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pcuenq
Add Core ML conversion
#17 opened about 3 years ago
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pcuenq
Add Core ML conversion
#16 opened about 3 years ago
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pcuenq
Add Core ML conversion
#15 opened about 3 years ago
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pcuenq
Add Core ML conversion
#14 opened about 3 years ago
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pcuenq
Add Core ML conversion
#13 opened about 3 years ago
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pcuenq
Add Core ML conversion
#12 opened about 3 years ago
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pcuenq