Instructions to use abk20031218/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abk20031218/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="abk20031218/checkpoints")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("abk20031218/checkpoints") model = AutoModelForTokenClassification.from_pretrained("abk20031218/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4891815a04151084604f16f93861cabc0e428b6141c33cd21aa8c46e1b40e586
- Size of remote file:
- 5.2 kB
- SHA256:
- 796a6f1e7ec97b23daa44251c33c5c160fd6f9193406328c62247b0cb0bf6f8c
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