Instructions to use sshleifer/tiny-distilbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/tiny-distilbert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sshleifer/tiny-distilbert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sshleifer/tiny-distilbert-base-cased") model = AutoModelForTokenClassification.from_pretrained("sshleifer/tiny-distilbert-base-cased") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
Browse filesGenerated with:
```python
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("sshleifer/tiny-distilbert-base-cased")
assert tokenizer.is_fast
tokenizer.save_pretrained("...")
```
- tokenizer.json +0 -0
tokenizer.json
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