Instructions to use jamesdborin/Electra-Large-CONLL2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jamesdborin/Electra-Large-CONLL2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jamesdborin/Electra-Large-CONLL2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jamesdborin/Electra-Large-CONLL2003") model = AutoModelForTokenClassification.from_pretrained("jamesdborin/Electra-Large-CONLL2003") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d3dfed051de6311fb06b27992434ff64b05e57b2750cbf3fac69af5d0732ad3
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size 1336458204
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