Instructions to use krishanmittal018/TokenClassifierModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishanmittal018/TokenClassifierModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="krishanmittal018/TokenClassifierModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("krishanmittal018/TokenClassifierModel") model = AutoModelForTokenClassification.from_pretrained("krishanmittal018/TokenClassifierModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0be6043b08dc534c48300f9cecaa212aa505b2192fe12fc4e53a2d299b2c14c8
- Size of remote file:
- 266 MB
- SHA256:
- 5ebadab9c6bbfcf0b5fcea74d2775c562b0560463703f95d00926ebac0137997
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