Instructions to use formermagic/pyt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formermagic/pyt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("formermagic/pyt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("formermagic/pyt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcb97f7fdc15acc8a3c68209dd8275e359b316dcb43f21372ed1c5d88b621159
- Size of remote file:
- 978 MB
- SHA256:
- 45cf2a93e988feb89c4c7ac351a6f8e492bcd67e067921398d87ccefc7b954b2
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