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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a23bd09a65041bf52c50d34b92f3c8484a1b2f4b604c9e195c2cf0ff546c7cba
- Size of remote file:
- 539 MB
- SHA256:
- f6c502da6898d6767efc07009d0eddf03458d5d5ef927d2190f9502c837a9dcd
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