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:
- 2d90e76954138e354f80f088a59c119dd8453592f8e9eceea883d0c896d5e6e5
- Size of remote file:
- 5.14 kB
- SHA256:
- 7a9dbc39ab729f094bf3e337ae13d9098aaee34568374c54b8d3dfa328a58710
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