Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use maud-dr/model_2_stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maud-dr/model_2_stage1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("maud-dr/model_2_stage1") model = AutoModelForSeq2SeqLM.from_pretrained("maud-dr/model_2_stage1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a6d812db330cb7207c12b727d27e4dd5100cbe474b601f41d44419a1fe32a05
- Size of remote file:
- 1.98 GB
- SHA256:
- 52c1542366e9870550ed3338d39cd07ff932f4eb7eea13a0ec5392bdd38adf96
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