Instructions to use casonshep/token_classification_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casonshep/token_classification_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="casonshep/token_classification_test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("casonshep/token_classification_test") model = AutoModelForTokenClassification.from_pretrained("casonshep/token_classification_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 408147355119bc85a4b41514724ed32b75f975003dd0d5c731db0f69b1b589c3
- Size of remote file:
- 266 MB
- SHA256:
- b0864115be1c1428f64c20841de564cabfd35e42a72526e7e9e920da74bc624a
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