Instructions to use tanvirsrbd1/only_vary_model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanvirsrbd1/only_vary_model1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tanvirsrbd1/only_vary_model1") model = AutoModelForSeq2SeqLM.from_pretrained("tanvirsrbd1/only_vary_model1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b9b494c31a4ff4e58de7abffdd1c26919c3ef26ed7f418c5cdc4ce14dfcff9a
- Size of remote file:
- 4.16 kB
- SHA256:
- 5170d968fb8e155e9d7d3bd5247d211b80d7d0626b15c9683095bec3b989b68b
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