Instructions to use Atnafu/mt5-base-squad2-fin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atnafu/mt5-base-squad2-fin with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Atnafu/mt5-base-squad2-fin") model = AutoModelForSeq2SeqLM.from_pretrained("Atnafu/mt5-base-squad2-fin") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model-index:
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- name: mt5-base-squad2-fin
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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model-index:
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- name: mt5-base-squad2-fin
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results: []
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metrics:
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- f1
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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