Instructions to use compellit/mt5-scansion-gl-cx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use compellit/mt5-scansion-gl-cx with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("compellit/mt5-scansion-gl-cx") model = AutoModelForSeq2SeqLM.from_pretrained("compellit/mt5-scansion-gl-cx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
adds license
Browse files
README.md
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library_name: transformers
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base_model:
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- google/mt5-small
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---
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# Model Card for mt5-scan-gl-cx
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library_name: transformers
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base_model:
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- google/mt5-small
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license: apache-2.0
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# Model Card for mt5-scan-gl-cx
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