Instructions to use userABC123/super_cnll_2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use userABC123/super_cnll_2e with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="userABC123/super_cnll_2e")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("userABC123/super_cnll_2e") model = AutoModelForTokenClassification.from_pretrained("userABC123/super_cnll_2e", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14e799b651689bff946709abe382eec8282486d0359851fdd6e4bae70f36a87e
- Size of remote file:
- 437 MB
- SHA256:
- 43d5e421a5ef7fcc9dd6a206e27501af855a511336411d07acbb7abe7d943c4b
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