Instructions to use invalid-coder/distilled_step_by_step_t5_v1_1_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use invalid-coder/distilled_step_by_step_t5_v1_1_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("invalid-coder/distilled_step_by_step_t5_v1_1_base") model = AutoModelForSeq2SeqLM.from_pretrained("invalid-coder/distilled_step_by_step_t5_v1_1_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3ee83dc36735881a0311940df346ada755e4c490c4b75e45f28d9731bdc578a
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size 990406605
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