Instructions to use inshining/bigData_w9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inshining/bigData_w9 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("inshining/bigData_w9") model = AutoModelForSeq2SeqLM.from_pretrained("inshining/bigData_w9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from inshining/bigData_w9: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/inshining/bigData_w9/resolve/main/training_args.bin
- Command line
-
hf download hf://inshining/bigData_w9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/inshining/bigData_w9/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 3f9facdffe04ce2d4197b5e572a056368e55415702825d4077d1e0e2d1629cec
- Size of remote file:
- 4.03 kB
- SHA256:
- e25e544c04f08b7aa4325175fc0b6cfb296c3a9ffc8f072519c780fe0db51a00
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