Instructions to use BigSalmon/TS3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/TS3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/TS3") model = AutoModelForSeq2SeqLM.from_pretrained("BigSalmon/TS3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BigSalmon/TS3: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/BigSalmon/TS3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BigSalmon/TS3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BigSalmon/TS3/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 87c43c4633a9bed72957ce45803fee51ebf24dd1cd0c9ea696a0ffecdea0d802
- Size of remote file:
- 892 MB
- SHA256:
- e7cc617ecc11822066f1181309d51bf9f4faddd2962b3be1818cd86413c17386
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