Instructions to use Suchinthana/t5-recommender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suchinthana/t5-recommender with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Suchinthana/t5-recommender") model = AutoModelForSeq2SeqLM.from_pretrained("Suchinthana/t5-recommender", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32c286372369141ce9f7041a9639d0f4f39252d68d1aa8cfb2e5744510f46e62
- Size of remote file:
- 892 MB
- SHA256:
- 70f01132a27b62d97076f4011353eafe05470159708dccff9501042a1ccbbbf2
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