Instructions to use bryanahusna/my-nergrit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bryanahusna/my-nergrit-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bryanahusna/my-nergrit-model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bryanahusna/my-nergrit-model") model = AutoModelForTokenClassification.from_pretrained("bryanahusna/my-nergrit-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c1b2c9abb6048438b54ed988e2ba5a7762513ae398a8e35dcc5c0c13f8b37d9
- Size of remote file:
- 440 MB
- SHA256:
- d553ccd1c24b7cd564fcf420ad5bfb20db8ff6f5b0184c0e11dca94089f82e05
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