Transformers
PyTorch
TensorFlow
JAX
English
t5
text2text-generation
deep-narrow
text-generation-inference
Instructions to use google/t5-efficient-small-nl40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-efficient-small-nl40 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-efficient-small-nl40") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-efficient-small-nl40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from google/t5-efficient-small-nl40: direct link, hf CLI and curl.
- Browser
- Download file 1.24 GB
-
https://huggingface.co/google/t5-efficient-small-nl40/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://google/t5-efficient-small-nl40/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/google/t5-efficient-small-nl40/resolve/main/flax_model.msgpack
1.24 GB
- Xet hash:
- 67852049f5714c676c59fe4503286e2bf40f074f629944631f047f906cd02734
- Size of remote file:
- 1.24 GB
- SHA256:
- b0d651aadd8f1196f8cbb6278c050d592c3de821d4243c30ea5d5158ed8b892b
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