Instructions to use titanbot/Electra-Large-CONLL2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use titanbot/Electra-Large-CONLL2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="titanbot/Electra-Large-CONLL2003")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("titanbot/Electra-Large-CONLL2003") model = AutoModelForTokenClassification.from_pretrained("titanbot/Electra-Large-CONLL2003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from titanbot/Electra-Large-CONLL2003: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/titanbot/Electra-Large-CONLL2003/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://titanbot/Electra-Large-CONLL2003/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/titanbot/Electra-Large-CONLL2003/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- ca67c866d19adfce4c14247b543e35c188c20c2786da74f0fa2708570cd7439a
- Size of remote file:
- 1.34 GB
- SHA256:
- 9770f6017754073fc240dd220c9a41874a3bc798900b105da3479be98f590363
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