Instructions to use thepian/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thepian/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="thepian/checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("thepian/checkpoints") model = AutoModelForTokenClassification.from_pretrained("thepian/checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41376ccddde4a70fde4d4f9368eae3a72088ea1a75c2b2dc0e6df7e20ca5b595
- Size of remote file:
- 5.97 kB
- SHA256:
- 9534cd1182b732d7bbf6755fc37465f9d5d35cf71fd5bc4fd36d39c7aa39988f
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