Instructions to use imthanhlv/t5vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imthanhlv/t5vi with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("imthanhlv/t5vi") model = AutoModelForSeq2SeqLM.from_pretrained("imthanhlv/t5vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from imthanhlv/t5vi: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/imthanhlv/t5vi/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://imthanhlv/t5vi/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/imthanhlv/t5vi/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 04f3d9f125f9d4c991617286bac303b35bcf607133224f1384726a8946f7bcde
- Size of remote file:
- 990 MB
- SHA256:
- 62ed30d7981c93b9489c5878c0345100cd428a0c90677c3a2c0a6aeac489663b
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