Instructions to use exxyyf/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use exxyyf/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="exxyyf/results")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("exxyyf/results") model = AutoModelForTokenClassification.from_pretrained("exxyyf/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5e0237a11149236a6c9df808c94029a0b233208bf47f1871c58c39180723b65
- Size of remote file:
- 5.3 kB
- SHA256:
- 9866c5e23b473576ec00264cad281fdd68dc42258c6e4626ba8a9c7cbe1c3e1c
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