Instructions to use Blgn94/testingModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blgn94/testingModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Blgn94/testingModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Blgn94/testingModel") model = AutoModelForTokenClassification.from_pretrained("Blgn94/testingModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c742b98a5f226aef743c631bf3a8ce33c3214bb7e32c5b3670a10353cce7ad6
- Size of remote file:
- 539 MB
- SHA256:
- 438b723a483d1e1723e936197e9d12e75ff5ddcf5243d9a481ca9718465a663b
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