Transformers
PyTorch
Safetensors
English
t5
text2text-generation
qa
askscience
lfqa
information retrieval
text-generation-inference
Instructions to use pszemraj/t5-base-askscience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/t5-base-askscience with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/t5-base-askscience") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/t5-base-askscience", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from pszemraj/t5-base-askscience: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/pszemraj/t5-base-askscience/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://pszemraj/t5-base-askscience@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pszemraj/t5-base-askscience/resolve/refs%2Fpr%2F1/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.