Instructions to use tscholak/1zha5ono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tscholak/1zha5ono with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tscholak/1zha5ono") model = AutoModelForSeq2SeqLM.from_pretrained("tscholak/1zha5ono", device_map="auto") - Notebooks
- Google Colab
- Kaggle
fix license identifier
Browse files
README.md
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- text2sql
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widget:
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- "How many singers do we have? | concert_singer | stadium : stadium_id, location, name, capacity, highest, lowest, average | singer : singer_id, name, country, song_name, song_release_year, age, is_male | concert : concert_id, concert_name, theme, stadium_id, year | singer_in_concert : concert_id, singer_id"
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license: "
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datasets:
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- spider
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metrics:
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- text2sql
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widget:
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- "How many singers do we have? | concert_singer | stadium : stadium_id, location, name, capacity, highest, lowest, average | singer : singer_id, name, country, song_name, song_release_year, age, is_male | concert : concert_id, concert_name, theme, stadium_id, year | singer_in_concert : concert_id, singer_id"
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license: "apache-2.0"
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datasets:
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- spider
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metrics:
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