Instructions to use encodingai/electra-base-discriminator-im-multilabel-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use encodingai/electra-base-discriminator-im-multilabel-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="encodingai/electra-base-discriminator-im-multilabel-V2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("encodingai/electra-base-discriminator-im-multilabel-V2") model = AutoModelForSequenceClassification.from_pretrained("encodingai/electra-base-discriminator-im-multilabel-V2") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- added_tokens.json +0 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
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tokenizer_config.json
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