Instructions to use priyank/Generate_instructions_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use priyank/Generate_instructions_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("priyank/Generate_instructions_t5") model = AutoModelForSeq2SeqLM.from_pretrained("priyank/Generate_instructions_t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb41a47bace6e387227f8420ff2f3f0ff70226cac72a90c060f5c62e01a9c894
- Size of remote file:
- 892 MB
- SHA256:
- d1003a8abe313dd2546140dcef4708ce6bc36533ccd81ef9f283fe784ba6aafa
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