Instructions to use Jeevesh8/t5-small_re-cogs_20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_20 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_20") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_20") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 363fd58f0f0ac458426be7e02c41ca8048544e53c3524518053c7e622e03e16e
- Size of remote file:
- 308 MB
- SHA256:
- 09a146c8d7ccffd017e32006d85f314d1fcfdee00a092395804d237579a1ebb6
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