Instructions to use bowphs/testid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/testid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bowphs/testid")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bowphs/testid") model = AutoModelForTokenClassification.from_pretrained("bowphs/testid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fd5e4721ee7bbbcbff82319ce8bbff6de53128de9c606edaecd1c3db7b869ce
- Size of remote file:
- 502 MB
- SHA256:
- 0ab30b70f7e9a49cca4865190bdbc0f56add59ab1668693067504f3009ccad87
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