Instructions to use luffycodes/t5_base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luffycodes/t5_base_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("luffycodes/t5_base_v1") model = AutoModelForSeq2SeqLM.from_pretrained("luffycodes/t5_base_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e48d46898810c5ce262ab6a07d0ca819898dbb2777053af56362f34715c330b2
- Size of remote file:
- 892 MB
- SHA256:
- 12c83261c40afee6158966644f99d3270a72cadc89f4e95bd0c4a7ce2356c25d
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