Instructions to use norkart/mt5-large-no-info-extraction-3000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use norkart/mt5-large-no-info-extraction-3000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("norkart/mt5-large-no-info-extraction-3000") model = AutoModelForSeq2SeqLM.from_pretrained("norkart/mt5-large-no-info-extraction-3000") - Notebooks
- Google Colab
- Kaggle
Upload 5 files
Browse files- config.json +1 -1
config.json
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"_name_or_path": "
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"architectures": [
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"MT5ForConditionalGeneration"
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"_name_or_path": "./results_qa_squadv2/checkpoint-2000",
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"architectures": [
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"MT5ForConditionalGeneration"
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