Instructions to use mimi33/small60M_1027 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mimi33/small60M_1027 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mimi33/small60M_1027") model = AutoModelForSeq2SeqLM.from_pretrained("mimi33/small60M_1027") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08152d068b2ebdefd7b6855c600ad6799855339044211b167d64c2c2b8342672
- Size of remote file:
- 240 MB
- SHA256:
- 0e07cf6e5346c57c5d0146b071d18c750b72e436a8f06c26ba83cd598a9d2aeb
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