Instructions to use Bavanda/FQGenerationVersion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bavanda/FQGenerationVersion2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Bavanda/FQGenerationVersion2") model = AutoModelForSeq2SeqLM.from_pretrained("Bavanda/FQGenerationVersion2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f48018f47c42dae55f2221bf4361e22488f014ca48bd1ef83d8c11d16754221c
- Size of remote file:
- 892 MB
- SHA256:
- 736862c65261613b9bcecaafbcdfa8682af4f0489d276d385e4591e92e97787c
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