Token Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use krishnareddy/hello_token_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishnareddy/hello_token_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="krishnareddy/hello_token_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("krishnareddy/hello_token_classification_model") model = AutoModelForTokenClassification.from_pretrained("krishnareddy/hello_token_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e4f0069b4a20e7275f8fe7429a2dd8719b7516361f9b42e53701c2707b4b5d0
- Size of remote file:
- 266 MB
- SHA256:
- eacf003d918e91f8ca5effb83bf520c746abf658533bbc6931bec7091c7410e5
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