Instructions to use lemon234071/t5-base-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lemon234071/t5-base-Chinese with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lemon234071/t5-base-Chinese") model = AutoModelForSeq2SeqLM.from_pretrained("lemon234071/t5-base-Chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from lemon234071/t5-base-Chinese: direct link, hf CLI and curl.
- Browser
- Download file 1.01 GB
-
https://huggingface.co/lemon234071/t5-base-Chinese/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://lemon234071/t5-base-Chinese/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/lemon234071/t5-base-Chinese/resolve/main/flax_model.msgpack
1.01 GB
- Xet hash:
- 7166be8cceaaa25067941128dc769a068375ecf1a9fcdf368d6b011e419d0a1f
- Size of remote file:
- 1.01 GB
- SHA256:
- 1fae90c155462e380c6fba9810c745abee6a337b51ccfc69dc21a54ffc618560
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