Instructions to use hkunlp/from_all_T5_base_prefix_sql_2upsample2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hkunlp/from_all_T5_base_prefix_sql_2upsample2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hkunlp/from_all_T5_base_prefix_sql_2upsample2") model = AutoModel.from_pretrained("hkunlp/from_all_T5_base_prefix_sql_2upsample2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hkunlp/from_all_T5_base_prefix_sql_2upsample2: direct link, hf CLI and curl.
- Browser
- Download file 1.01 GB
-
https://huggingface.co/hkunlp/from_all_T5_base_prefix_sql_2upsample2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hkunlp/from_all_T5_base_prefix_sql_2upsample2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hkunlp/from_all_T5_base_prefix_sql_2upsample2/resolve/main/pytorch_model.bin
1.01 GB
- Xet hash:
- d16f828b97523e128eb3af02ad07f7f734e636036ec3893d6ee1160819ddd625
- Size of remote file:
- 1.01 GB
- SHA256:
- bb8d52c99c339f9f39108ed8e9536fa59809c16adf4812cab51afce95a93b594
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