Instructions to use SCS/Fine-tuned-JCSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SCS/Fine-tuned-JCSD with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SCS/Fine-tuned-JCSD") model = AutoModelForSeq2SeqLM.from_pretrained("SCS/Fine-tuned-JCSD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SCS/Fine-tuned-JCSD: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/SCS/Fine-tuned-JCSD/resolve/main/training_args.bin
- Command line
-
hf download hf://SCS/Fine-tuned-JCSD/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SCS/Fine-tuned-JCSD/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- 10a39fd779cbb6223577f1605552877930df110ed6e55762ae8efac9280f0960
- Size of remote file:
- 3.31 kB
- SHA256:
- 57e166383237583201d6c0eba3102d92432aa7ea3adcc524f469f6c453b795d2
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