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:
- 07a17148ae431a8600c458861dfdd0b0cd96d8fc5dee48941e5bfca0a9df6f60
- Size of remote file:
- 3.96 kB
- SHA256:
- 37316e97e726bf0e0a6d39793c81c7b7fc6e175491a319cec707f54d55e060d9
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