Instructions to use sshleifer/t5-tinier-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/t5-tinier-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/t5-tinier-random") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/t5-tinier-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 699dea2a08b136116d57a16fbe1752fe790bd3727aa917699230733d33421d30
- Size of remote file:
- 8.54 MB
- SHA256:
- dd8c295196d1ab0a569feaef7c9a804ca552903bf7221816d9c6b5ba3e469290
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