Instructions to use Jeevesh8/t5-small_re-cogs_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small_re-cogs_14 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small_re-cogs_14") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small_re-cogs_14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddfba56b35f47d3ac0fa05dc8e0ff44ab42eb4deacf15d48c263a355c8bb7753
- Size of remote file:
- 308 MB
- SHA256:
- a8637bebb6ff3173eaf5fd4843b9af4831c419868a0347eb81a5a99d76cded6f
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