Instructions to use enriquesaou/T5_mrqa_fast_learner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enriquesaou/T5_mrqa_fast_learner with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("enriquesaou/T5_mrqa_fast_learner") model = AutoModelForSeq2SeqLM.from_pretrained("enriquesaou/T5_mrqa_fast_learner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e6c39336aed0fa979cf38cd08b6aaae9ba73ef0376b2103c34efdc2f0389f20
- Size of remote file:
- 308 MB
- SHA256:
- 26cbb0d0667075365cddea1ab609df3407fc30d414cb52b028a5f6747d581e05
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